This document summarizes Mads Engelund's PhD defence on June 4th, 2010 at the Technical University of Denmark. The defence covered vibrational quantum transport, with a focus on introducing the basic theoretical approach, presenting results on gold chains and graphene edges, and drawing conclusions. Key findings included that vibrations are highly sensitive probes, the importance of ab initio modeling, and the potential for controlling matter via vibrations.
What's So Interesting About AMO Phyiscs?Chad Orzel
A talk given at the 2011 meeting of the Division of Atomic, Molecular, and Optical Physics (DAMOP) of the American Physical Society, summarizing recent and exciting results in AMO physics being presented at the meeting.
This course provides a general introduction to nanomaterials and nanotechnology. It is designed for those who are active or intended to be active in this field which include Researchers, Scientists and Engineers. As the field of nanomaterials is developing very rapidly, the course provides an ideal opportunity to review the scope and applicability of the currently available and emerging nanomaterials in various engineering industries.
What's So Interesting About AMO Phyiscs?Chad Orzel
A talk given at the 2011 meeting of the Division of Atomic, Molecular, and Optical Physics (DAMOP) of the American Physical Society, summarizing recent and exciting results in AMO physics being presented at the meeting.
This course provides a general introduction to nanomaterials and nanotechnology. It is designed for those who are active or intended to be active in this field which include Researchers, Scientists and Engineers. As the field of nanomaterials is developing very rapidly, the course provides an ideal opportunity to review the scope and applicability of the currently available and emerging nanomaterials in various engineering industries.
Nanotechnology nanotech is used to exploit matter of a molecular, supramolecular and atomic scale. The earliest, widespread description of nanotechnology referred to the particular technological goal of precisely exploiting atoms and molecules for fabrication of macro-scale products, also now referred to as molecular nanotechnology. Nanotechnology as defined by size is naturally very broad, including fields of science as assorted as surface science, organic chemistry, molecular biology, semiconductor physics, micro-fabrication, etc. The associated research and applications are equally assorted, ranging from extensions of conventional device physics to completely new approaches based upon molecular self-assembly, from developing new materials with dimensions on the nanoscale to direct reign of matter on the atomic scale. A. C. Sounthararaj | P L. Subramanian "An Overview on Nano-Technology" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6 , October 2018, URL: http://www.ijtsrd.com/papers/ijtsrd18626.pdf
Design of a virtual laboratory for analyzing nanoscale magnetic materialsijma
As the advance of technology, the manufacturing process of materials has moved forward from the scale of
micrometer to sub-micrometer and nanometer. Combining nanotechnology and traditional magnetic
materials, nanoscale magnetic materials can be created for applications in biomedical examination and
therapy as well as data recording to increase the storage space of a computer. The topic of using the
magnetic force microscope (MFM) to exam a material’s magnetic field distribution can often be found in
nanotechnology courses. Due to the cost of equipment and difficulty of its operation, the teacher can only
teach students with an instructional video most of the time instead of using a real MFM to conduct
experiments. As a result, students may not fully understand its principle and operating procedure. In this
study, a virtual MFM laboratory was designed as an app for execution on tablet computers to increase
students’ learning interest and motivation. Without using expensive equipment, they can understand the
magnetic field distribution of materials by using the virtual MFM to examine different samples provided in
the virtual laboratory. A teaching experiment was also conducted to compare the learning effectiveness of
using an instructional video and the virtual MFM laboratory. The experimental results showed that using
the virtual MFM laboratory was more effective than using the instructional video; the questionnaire results
also revealed that most students had positive attitudes toward the virtual MFM laboratory and they thought
it could enhance their learning interest and motivation.
Fabrication and Characterization of 2D Titanium Carbide MXene NanosheetsBecker Budwan
Typically, 2D free-standing crystals exhibit different properties from those of 3D counterparts. In this work, 2D nanosheets of Ti3C2 are synthesized by the room temperature exfoliation of Ti3AlC2 in hydrofluoric acid. Al is extracted from Ti3AlC2 and a new 2D material that we call MXene is formed to emphasize its graphene-like morphology. The treated powders can be used in the fabrication of Li-ion batteries and capacitors. A NSEM image of the treated powder shows the influence of HF treatment on the basal planes. Furthermore, XRD results shows the broadening of the peaks and loss of diffraction signal in the out-of-plane direction owing to exfoliation.
Nanotechnology nanotech is used to exploit matter of a molecular, supramolecular and atomic scale. The earliest, widespread description of nanotechnology referred to the particular technological goal of precisely exploiting atoms and molecules for fabrication of macro-scale products, also now referred to as molecular nanotechnology. Nanotechnology as defined by size is naturally very broad, including fields of science as assorted as surface science, organic chemistry, molecular biology, semiconductor physics, micro-fabrication, etc. The associated research and applications are equally assorted, ranging from extensions of conventional device physics to completely new approaches based upon molecular self-assembly, from developing new materials with dimensions on the nanoscale to direct reign of matter on the atomic scale. A. C. Sounthararaj | P L. Subramanian "An Overview on Nano-Technology" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6 , October 2018, URL: http://www.ijtsrd.com/papers/ijtsrd18626.pdf
Design of a virtual laboratory for analyzing nanoscale magnetic materialsijma
As the advance of technology, the manufacturing process of materials has moved forward from the scale of
micrometer to sub-micrometer and nanometer. Combining nanotechnology and traditional magnetic
materials, nanoscale magnetic materials can be created for applications in biomedical examination and
therapy as well as data recording to increase the storage space of a computer. The topic of using the
magnetic force microscope (MFM) to exam a material’s magnetic field distribution can often be found in
nanotechnology courses. Due to the cost of equipment and difficulty of its operation, the teacher can only
teach students with an instructional video most of the time instead of using a real MFM to conduct
experiments. As a result, students may not fully understand its principle and operating procedure. In this
study, a virtual MFM laboratory was designed as an app for execution on tablet computers to increase
students’ learning interest and motivation. Without using expensive equipment, they can understand the
magnetic field distribution of materials by using the virtual MFM to examine different samples provided in
the virtual laboratory. A teaching experiment was also conducted to compare the learning effectiveness of
using an instructional video and the virtual MFM laboratory. The experimental results showed that using
the virtual MFM laboratory was more effective than using the instructional video; the questionnaire results
also revealed that most students had positive attitudes toward the virtual MFM laboratory and they thought
it could enhance their learning interest and motivation.
Fabrication and Characterization of 2D Titanium Carbide MXene NanosheetsBecker Budwan
Typically, 2D free-standing crystals exhibit different properties from those of 3D counterparts. In this work, 2D nanosheets of Ti3C2 are synthesized by the room temperature exfoliation of Ti3AlC2 in hydrofluoric acid. Al is extracted from Ti3AlC2 and a new 2D material that we call MXene is formed to emphasize its graphene-like morphology. The treated powders can be used in the fabrication of Li-ion batteries and capacitors. A NSEM image of the treated powder shows the influence of HF treatment on the basal planes. Furthermore, XRD results shows the broadening of the peaks and loss of diffraction signal in the out-of-plane direction owing to exfoliation.
NANOMATERIALS AND NANOTECHNOLOGY: FUTURE EMERGING TECHNOLOGYIAEME Publication
This paper focuses on the problem of minimizing com plex electronic circuits to scale of 10-9 m (1 nano meter) thus helping in the process of fas t operation, better performance, low cost, reliability, simple in size and easy to fabricate. The materials which are used in the manufacturing o f nano electronic devices are commonly called as nano materials. The use of nano materials led to design and development of nano devices which ease t he process of design of logic circuits. The applications of nano technology include medical, en gineering and pure as well as applied sciences. In this paper, a detailed study of how the differen t nano materials are manufactured and how the manufacturing of nano electronic devices is done is clearly described. This paper illustrates the need for nano technology in modern era and facilitates t he use of nano technology as a prerequisite for the development of modern engineering technology.
This Presentation is based on our Research work carried out in GNDU Amritsar and DAVIET, Jallandhar. We fabricated Ion track filters; nanowires and some Exotic Patterns for the first time in India using simple Techniques.
Comunicació a càrrec de Boaz Kogon, de l'Institut Català de Nanociència i Nanotecnologia (ICN2), presentada en la 20a edició de la Trobada de l'Anella Científica (TAC'16) celebrada el 9 de juny de 2016 a l'Auditori del Campus Poblenou de la Universitat Pompeu Fabra (UPF).
La presentació mostra què és i què fa l'ICN2
DNA Nanotechnology: Concept and its Applications
DNA Nanotechnology # Various 2 and 3 dimensional shapes of DNA nanotechnology # DNA Origami # with their application and Future scope
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
5. Courtesy of Ray Kurzweil
3 DTU Nanotech, Technical University of Denmark
6. New transistor approaches
Song and Lee, Nature, 462, 1039 (2009)
http://www.sciencedaily.com/releases/2009/12/091223133343.htm
4 DTU Nanotech, Technical University of Denmark
7. New transistor approaches
Lin et al., Science, 327, 662 (2010)
Song and Lee, Nature, 462, 1039 (2009)
http://www.sciencedaily.com/releases/2009/12/091223133343.htm
4 DTU Nanotech, Technical University of Denmark
8. New transistor approaches
Lin et al., Science, 327, 662 (2010)
Song and Lee, Nature, 462, 1039 (2009)
http://www.sciencedaily.com/releases/2009/12/091223133343.htm
4 DTU Nanotech, Technical University of Denmark
10. Doing work
Heat dissipation
Flickr.com/mikebaird
7 DTU Nanotech, Technical University of Denmark
11. Doing work
Heat dissipation
Overheating
Flickr.com/mikebaird
Flickr.com/mikebaird
7 DTU Nanotech, Technical University of Denmark
12. Ralph Group, Cornell University, http://people.ccmr.cornell.edu/~ralph/projects/emig_movies/
8 DTU Nanotech, Technical University of Denmark
13. Ralph Group, Cornell University, http://people.ccmr.cornell.edu/~ralph/projects/emig_movies/
8 DTU Nanotech, Technical University of Denmark
14. Heat
5 DTU Nanotech, Technical University of Denmark
15. Heat =Energy we’ve lost track of
5 DTU Nanotech, Technical University of Denmark
16. Heat =Energy we’ve lost track of
Public domain
5 DTU Nanotech, Technical University of Denmark
17. Vibrations =main storage of heat
Macroscopic suspended beam
Microscopic graphene edge
Wikimedia commons
6 DTU Nanotech, Technical University of Denmark
18. Heat flow on different scales
9 DTU Nanotech, Technical University of Denmark
19. Heat flow on different scales
Sierra Pacific Innovations: ww.x20.org
9 DTU Nanotech, Technical University of Denmark
20. Heat flow on different scales
IEEE Spectrum: Carbon Nanotubes Takes
the Heat of Chips, Bryan Christie Design
Sierra Pacific Innovations: ww.x20.org
9 DTU Nanotech, Technical University of Denmark
21. Heat flow on different scales
Wikimedia Commons
IEEE Spectrum: Carbon Nanotubes Takes
the Heat of Chips, Bryan Christie Design
Sierra Pacific Innovations: ww.x20.org
9 DTU Nanotech, Technical University of Denmark
22. Heat flow on different scales
Wikimedia Commons
Wikimedia Commons
IEEE Spectrum: Carbon Nanotubes Takes
the Heat of Chips, Bryan Christie Design
Sierra Pacific Innovations: ww.x20.org
9 DTU Nanotech, Technical University of Denmark
30. Ab-initio
• Data-> Basic principles -> model
Empirical
Data -> model
18 DTU Nanotech, Technical University of Denmark
31. Ab-initio
• Data-> Basic principles -> model
Empirical
Data -> model
18 DTU Nanotech, Technical University of Denmark
32. Ab-initio
• Data-> Basic principles -> model
DFT
Empirical
Accurate tool but only app. 1000 atoms
Data -> model
18 DTU Nanotech, Technical University of Denmark
33. Gold chains
13 DTU Nanotech, Technical University of Denmark
34. Gold chains
Simple structure
Eur. Phys. J. D, 16, 395(2001)
13 DTU Nanotech, Technical University of Denmark
35. Gold chains
Simple structure
Clear inelastic signal
Phys. Rev. Lett., 88, 216803(2002)
Eur. Phys. J. D, 16, 395(2001)
13 DTU Nanotech, Technical University of Denmark
36. 14 DTU Nanotech, Technical University of Denmark
75. Gold Chains
•Instances of very low damping
Frederiksen et al., Phys. Rev. B, 75, 205413(2007)
DTU Nanotech, Technical University of Denmark
76. Gold Chains
•Instances of very low damping
•Sensitivity
Frederiksen et al., Phys. Rev. B, 75, 205413(2007)
DTU Nanotech, Technical University of Denmark
77. Gold Chains
•Instances of very low damping
•Sensitivity
quantrans.org/introduction
DTU Nanotech, Technical University of Denmark
82. www.als.lbl.gov/pics/154graphene01.png
Lin et al., Science, 327, 662 (2010)
www.technologyreview.com/files/
11636/graphene_x220.jpg
24 DTU Nanotech, Technical University of Denmark
83. IEEE Spectrum: Carbon Nanotubes Takes
the Heat of Chips, Bryan Christie Design
www.als.lbl.gov/pics/154graphene01.png
Lin et al., Science, 327, 662 (2010)
www.technologyreview.com/files/
11636/graphene_x220.jpg
24 DTU Nanotech, Technical University of Denmark
84. An interesting experiment
*Jia et al., Science, 2009, 323, 1701
25 DTU Nanotech, Technical University of Denmark
114. Graphene Edges
37 DTU Nanotech, Technical University of Denmark Armchair edges in graphene 02/28/2010
115. Graphene Edges
*Jia et al., Science, 2009, 323,
37 DTU Nanotech, Technical University of Denmark Armchair edges in graphene 02/28/2010
116. Graphene Edges
37 DTU Nanotech, Technical University of Denmark Armchair edges in graphene 02/28/2010
117. Graphene Edges
37 DTU Nanotech, Technical University of Denmark Armchair edges in graphene 02/28/2010
118. Graphene Edges
Bye, bye armchair dimer
37 DTU Nanotech, Technical University of Denmark Armchair edges in graphene 02/28/2010
119. Conclusions
30 DTU Nanotech, Technical University of Denmark
120. Conclusions
• Vibrations sensitive to everything
Phys. Rev. Lett., 88, 216803(2002)
30 DTU Nanotech, Technical University of Denmark
121. Conclusions
• Vibrations sensitive to everything
• Importance of ab-initio
Phys. Rev. Lett., 88, 216803(2002)
30 DTU Nanotech, Technical University of Denmark
122. Conclusions
• Vibrations sensitive to everything
• Importance of ab-initio Science, 2009, 323, 1701
• Control of matter
30 DTU Nanotech, Technical University of Denmark
123. Conclusions
• Vibrations sensitive to everything
• Importance of ab-initio Science, 2009, 323, 1701
• Control of matter
Phys. Rev. Lett., 104,
30 DTU Nanotech, Technical University of Denmark
125. Background-Theoretical Modeling of Vibrational
Properties
Non-conservative Forces
Dundas et al., Nat. Nano., 4, 99-103(2009)
39 DTU Nanotech, Technical University of Denmark
126. Background-Theoretical Modeling of Vibrational
Properties
Non-conservative Forces
Dundas et al., Nat. Nano., 4, 99-103(2009)
Dynamics
McEni
r
y et al., Phys. Rev. B, 035446(2008)
39 DTU Nanotech, Technical University of Denmark
127. Background-Theoretical Modeling of Vibrational
Properties
Non-conservative Forces
Dundas et al., Nat. Nano., 4, 99-103(2009)
Anharmonic
Transport
Mingo
,
Phys. Rev. B, 125402(2006)
Dynamics
McEni
r
y et al., Phys. Rev. B, 035446(2008)
39 DTU Nanotech, Technical University of Denmark
First of all I would like to welcome everyone in the audience, the evaluation commity, my collegues, my friends and family...all who have all taken the time to be here today and hear about the work I’ve done these last three years.
As an introduction I would like to talk about why effective modelling of vibrations is so important. I would say that one of the principal motivations comes from the design of computers- a technology that has a huge impact on society.
In the sixties Gordon Moore, who later went on to co-found Intel, noted a remarkable trend. The number of transistors on new microchips seemed to double every two years. He predicted this trend to last for approximately ten years. But the trend proved much more resilient that $- since it has now continued for over forty years! And in an alternative formulation, tracking the computational power that can be bought $ the trend can be traced back over a 100 years- even as the basic building blocks that make up computers have change immensely.
What I would like to emphasize here, is that the relentless expansion of technological capabilities is constantly pushing the need to investigate smaller and smaller structures. Structures where the positions of individual atoms can become important
In the sixties Gordon Moore, who later went on to co-found Intel, noted a remarkable trend. The number of transistors on new microchips seemed to double every two years. He predicted this trend to last for approximately ten years. But the trend proved much more resilient that $- since it has now continued for over forty years! And in an alternative formulation, tracking the computational power that can be bought $ the trend can be traced back over a 100 years- even as the basic building blocks that make up computers have change immensely.
What I would like to emphasize here, is that the relentless expansion of technological capabilities is constantly pushing the need to investigate smaller and smaller structures. Structures where the positions of individual atoms can become important
In the sixties Gordon Moore, who later went on to co-found Intel, noted a remarkable trend. The number of transistors on new microchips seemed to double every two years. He predicted this trend to last for approximately ten years. But the trend proved much more resilient that $- since it has now continued for over forty years! And in an alternative formulation, tracking the computational power that can be bought $ the trend can be traced back over a 100 years- even as the basic building blocks that make up computers have change immensely.
What I would like to emphasize here, is that the relentless expansion of technological capabilities is constantly pushing the need to investigate smaller and smaller structures. Structures where the positions of individual atoms can become important
In the sixties Gordon Moore, who later went on to co-found Intel, noted a remarkable trend. The number of transistors on new microchips seemed to double every two years. He predicted this trend to last for approximately ten years. But the trend proved much more resilient that $- since it has now continued for over forty years! And in an alternative formulation, tracking the computational power that can be bought $ the trend can be traced back over a 100 years- even as the basic building blocks that make up computers have change immensely.
What I would like to emphasize here, is that the relentless expansion of technological capabilities is constantly pushing the need to investigate smaller and smaller structures. Structures where the positions of individual atoms can become important
In one example, researchers have created a transistor where the current-carrying medium consists of a single atomic layer of carbon, also known as graphene. $ And in this example- even more extreme, a single benzene ring acts as the transistor.
In one example, researchers have created a transistor where the current-carrying medium consists of a single atomic layer of carbon, also known as graphene. $ And in this example- even more extreme, a single benzene ring acts as the transistor.
When designing circuits, the subject of heat, specifically how to get rid of heat, is very important. $ In practise, any purposefull activity that uses energy will also generate heat.
And for any system, the ability to get rid of heat can act as a barrier to this activity. $ Fortunately, humans have the ability to realize this in most cases...
When designing circuits, the subject of heat, specifically how to get rid of heat, is very important. $ In practise, any purposefull activity that uses energy will also generate heat.
And for any system, the ability to get rid of heat can act as a barrier to this activity. $ Fortunately, humans have the ability to realize this in most cases...
…because overheating will cause a collapse. In this movie we see an example of how an exessive current destroys a gold structure (start movie). Surprisingly the structure does not break at the narrowest part of of the structure but at a short distance thereafter. This goes to show that at short length scales, heat generation and heat dissipation exhibit new phenomena, unseen at larger scales.
Before we move any further let me take a step back to explain what heat actually is . This is my explanaition $w Let me illustrate this $ In the beginning of this movie we have an atom moving with a certain kinetic energy. In the end all this energy is redistributed among all the other atoms. In principle, we could keep track of exactly where the energy goes but in practise this is an impossible task. In stead we say that energy well distributed over all degrees of freedom is “heat”.
Before we move any further let me take a step back to explain what heat actually is . This is my explanaition $w Let me illustrate this $ In the beginning of this movie we have an atom moving with a certain kinetic energy. In the end all this energy is redistributed among all the other atoms. In principle, we could keep track of exactly where the energy goes but in practise this is an impossible task. In stead we say that energy well distributed over all degrees of freedom is “heat”.
Before we move any further let me take a step back to explain what heat actually is . This is my explanaition $w Let me illustrate this $ In the beginning of this movie we have an atom moving with a certain kinetic energy. In the end all this energy is redistributed among all the other atoms. In principle, we could keep track of exactly where the energy goes but in practise this is an impossible task. In stead we say that energy well distributed over all degrees of freedom is “heat”.
Most of the heat in solids is stored in vibrations, so a proper understanding of vibrations is crucial in understanding heat dissipation. And as devices are made smaller and smaller we also need to understand vibrations on a smaller and smaller scale.
Note that the vibrations on the smallest scales are fundamentally different from the large scale vibrations. At this small scale the solid can no longer be considered continous since it clearly consists of atoms at specific positions.
Effective dissipation of heat is an increasingly important design consideration- The use of multiple-core processors in stead of single-core is primarily due to heat considerations.
Switching and passing currents generates heat at the smallest scale. This heat must be transported all the way from the devices on the chip
$...$$$
to the surroundings of the computer. It is important that this flow of heat is uninterupted across several scales. A bottleneck, can occur at any scale. And in a recent state-of-the-art development carbon nanotubes were used to avoid the bottleneck between the chip and the heat sink.
Effective dissipation of heat is an increasingly important design consideration- The use of multiple-core processors in stead of single-core is primarily due to heat considerations.
Switching and passing currents generates heat at the smallest scale. This heat must be transported all the way from the devices on the chip
$...$$$
to the surroundings of the computer. It is important that this flow of heat is uninterupted across several scales. A bottleneck, can occur at any scale. And in a recent state-of-the-art development carbon nanotubes were used to avoid the bottleneck between the chip and the heat sink.
Effective dissipation of heat is an increasingly important design consideration- The use of multiple-core processors in stead of single-core is primarily due to heat considerations.
Switching and passing currents generates heat at the smallest scale. This heat must be transported all the way from the devices on the chip
$...$$$
to the surroundings of the computer. It is important that this flow of heat is uninterupted across several scales. A bottleneck, can occur at any scale. And in a recent state-of-the-art development carbon nanotubes were used to avoid the bottleneck between the chip and the heat sink.
Effective dissipation of heat is an increasingly important design consideration- The use of multiple-core processors in stead of single-core is primarily due to heat considerations.
Switching and passing currents generates heat at the smallest scale. This heat must be transported all the way from the devices on the chip
$...$$$
to the surroundings of the computer. It is important that this flow of heat is uninterupted across several scales. A bottleneck, can occur at any scale. And in a recent state-of-the-art development carbon nanotubes were used to avoid the bottleneck between the chip and the heat sink.
Although heat dissipation is my primary reason to take a keen interest in vibrations, something new has emerged in recent years- detailed control over vibrations.
Earlier this year a really exciting piece of news was announced by two independent groups- the creation of a SASER $ (Sound Amplification through Simulated Emission of Radiation), the vibrational analog of the optical laser. And considering the amazing progress in the field of optics since the invention of the laser this was enough to give me goose-bumps.
$ Coupled with new effective methods for controlling vibrations once they are created- perhaps what we are seeing is the emergence of an entirely new field- design of devices based on vibrations.
Although heat dissipation is my primary reason to take a keen interest in vibrations, something new has emerged in recent years- detailed control over vibrations.
Earlier this year a really exciting piece of news was announced by two independent groups- the creation of a SASER $ (Sound Amplification through Simulated Emission of Radiation), the vibrational analog of the optical laser. And considering the amazing progress in the field of optics since the invention of the laser this was enough to give me goose-bumps.
$ Coupled with new effective methods for controlling vibrations once they are created- perhaps what we are seeing is the emergence of an entirely new field- design of devices based on vibrations.
Although heat dissipation is my primary reason to take a keen interest in vibrations, something new has emerged in recent years- detailed control over vibrations.
Earlier this year a really exciting piece of news was announced by two independent groups- the creation of a SASER $ (Sound Amplification through Simulated Emission of Radiation), the vibrational analog of the optical laser. And considering the amazing progress in the field of optics since the invention of the laser this was enough to give me goose-bumps.
$ Coupled with new effective methods for controlling vibrations once they are created- perhaps what we are seeing is the emergence of an entirely new field- design of devices based on vibrations.
Although heat dissipation is my primary reason to take a keen interest in vibrations, something new has emerged in recent years- detailed control over vibrations.
Earlier this year a really exciting piece of news was announced by two independent groups- the creation of a SASER $ (Sound Amplification through Simulated Emission of Radiation), the vibrational analog of the optical laser. And considering the amazing progress in the field of optics since the invention of the laser this was enough to give me goose-bumps.
$ Coupled with new effective methods for controlling vibrations once they are created- perhaps what we are seeing is the emergence of an entirely new field- design of devices based on vibrations.
New and exciting measurements have also appeared in recent years.
$ Raman spectroscopy for example, Raman spectroscopy has reached increadible sophistication. It is now possible to perform spetroscopy on a single molecule suspended between electrodes- and to obtain a current-voltage characteristic at the same time.
$ And using the method of thermal probing it is possible to find the temperature distrbution along a single carbon nanotube.
These extrordinary measurement allow us to see what is actually going on on the nano-scale.
New and exciting measurements have also appeared in recent years.
$ Raman spectroscopy for example, Raman spectroscopy has reached increadible sophistication. It is now possible to perform spetroscopy on a single molecule suspended between electrodes- and to obtain a current-voltage characteristic at the same time.
$ And using the method of thermal probing it is possible to find the temperature distrbution along a single carbon nanotube.
These extrordinary measurement allow us to see what is actually going on on the nano-scale.
New and exciting measurements have also appeared in recent years.
$ Raman spectroscopy for example, Raman spectroscopy has reached increadible sophistication. It is now possible to perform spetroscopy on a single molecule suspended between electrodes- and to obtain a current-voltage characteristic at the same time.
$ And using the method of thermal probing it is possible to find the temperature distrbution along a single carbon nanotube.
These extrordinary measurement allow us to see what is actually going on on the nano-scale.
New and exciting measurements have also appeared in recent years.
$ Raman spectroscopy for example, Raman spectroscopy has reached increadible sophistication. It is now possible to perform spetroscopy on a single molecule suspended between electrodes- and to obtain a current-voltage characteristic at the same time.
$ And using the method of thermal probing it is possible to find the temperature distrbution along a single carbon nanotube.
These extrordinary measurement allow us to see what is actually going on on the nano-scale.
New and exciting measurements have also appeared in recent years.
$ Raman spectroscopy for example, Raman spectroscopy has reached increadible sophistication. It is now possible to perform spetroscopy on a single molecule suspended between electrodes- and to obtain a current-voltage characteristic at the same time.
$ And using the method of thermal probing it is possible to find the temperature distrbution along a single carbon nanotube.
These extrordinary measurement allow us to see what is actually going on on the nano-scale.
New and exciting measurements have also appeared in recent years.
$ Raman spectroscopy for example, Raman spectroscopy has reached increadible sophistication. It is now possible to perform spetroscopy on a single molecule suspended between electrodes- and to obtain a current-voltage characteristic at the same time.
$ And using the method of thermal probing it is possible to find the temperature distrbution along a single carbon nanotube.
These extrordinary measurement allow us to see what is actually going on on the nano-scale.
Now that I’ve hopefully convinced you all that the study of vibrations is worthwhile, I will now move on to describe what I have done in this field.
(long 10)
What me and my group have worked on is on making effective computer simulation of vibrations in real structures. Two basic approaches exist to do this problem.
In the empirical approach you take experimental data and create a model based on a statistical fit to a model. With this approach it is possible to model huge structures, but it is difficult to know when it will fail. It is dependent upon having data that represent any situation you might encounter.
$ In our group we therefore primarily work with ab-initio models. Here you try to find the basic principles underlying the experimental data and then create a model.
$ We base our work on the DFT method, which is a stable workhorse of materials physics giving among many other things- very reliable vibrational energies.
What me and my group have worked on is on making effective computer simulation of vibrations in real structures. Two basic approaches exist to do this problem.
In the empirical approach you take experimental data and create a model based on a statistical fit to a model. With this approach it is possible to model huge structures, but it is difficult to know when it will fail. It is dependent upon having data that represent any situation you might encounter.
$ In our group we therefore primarily work with ab-initio models. Here you try to find the basic principles underlying the experimental data and then create a model.
$ We base our work on the DFT method, which is a stable workhorse of materials physics giving among many other things- very reliable vibrational energies.
What me and my group have worked on is on making effective computer simulation of vibrations in real structures. Two basic approaches exist to do this problem.
In the empirical approach you take experimental data and create a model based on a statistical fit to a model. With this approach it is possible to model huge structures, but it is difficult to know when it will fail. It is dependent upon having data that represent any situation you might encounter.
$ In our group we therefore primarily work with ab-initio models. Here you try to find the basic principles underlying the experimental data and then create a model.
$ We base our work on the DFT method, which is a stable workhorse of materials physics giving among many other things- very reliable vibrational energies.
What me and my group have worked on is on making effective computer simulation of vibrations in real structures. Two basic approaches exist to do this problem.
In the empirical approach you take experimental data and create a model based on a statistical fit to a model. With this approach it is possible to model huge structures, but it is difficult to know when it will fail. It is dependent upon having data that represent any situation you might encounter.
$ In our group we therefore primarily work with ab-initio models. Here you try to find the basic principles underlying the experimental data and then create a model.
$ We base our work on the DFT method, which is a stable workhorse of materials physics giving among many other things- very reliable vibrational energies.
Mono-atomic gold chains are excellent structures to test and illustrate calculational schemes.
$ First of all because they have been extensively studied.
$ And secondly, it is clear from experiments that vibrations in the chains are heated when a current flows. And the heat dissipation was found in to be surprisingly low. Which means there is something for theorists to explain.
Mono-atomic gold chains are excellent structures to test and illustrate calculational schemes.
$ First of all because they have been extensively studied.
$ And secondly, it is clear from experiments that vibrations in the chains are heated when a current flows. And the heat dissipation was found in to be surprisingly low. Which means there is something for theorists to explain.
Vibrations in equilibrium and at low temperature are governed by two relatively simple equations.
$ First, the dynamical matrix, K, is proportional to the second derivative of the total energy with respect to the position of the atoms. In a system with one degree of freedom this would simply be the spring constant.
$ Secondly, there is the equation of motion which is simply a matrix version of Newtons second Law.
If we have a finite structures and a way of calculating the total energy these two equations are all we need.
But when we add the macroscopic crystals $ then the equation of motion has an infinite number of variables. This we cannot solve straigth-forwardly.
(short 11)
Vibrations in equilibrium and at low temperature are governed by two relatively simple equations.
$ First, the dynamical matrix, K, is proportional to the second derivative of the total energy with respect to the position of the atoms. In a system with one degree of freedom this would simply be the spring constant.
$ Secondly, there is the equation of motion which is simply a matrix version of Newtons second Law.
If we have a finite structures and a way of calculating the total energy these two equations are all we need.
But when we add the macroscopic crystals $ then the equation of motion has an infinite number of variables. This we cannot solve straigth-forwardly.
(short 11)
Vibrations in equilibrium and at low temperature are governed by two relatively simple equations.
$ First, the dynamical matrix, K, is proportional to the second derivative of the total energy with respect to the position of the atoms. In a system with one degree of freedom this would simply be the spring constant.
$ Secondly, there is the equation of motion which is simply a matrix version of Newtons second Law.
If we have a finite structures and a way of calculating the total energy these two equations are all we need.
But when we add the macroscopic crystals $ then the equation of motion has an infinite number of variables. This we cannot solve straigth-forwardly.
(short 11)
Vibrations in equilibrium and at low temperature are governed by two relatively simple equations.
$ First, the dynamical matrix, K, is proportional to the second derivative of the total energy with respect to the position of the atoms. In a system with one degree of freedom this would simply be the spring constant.
$ Secondly, there is the equation of motion which is simply a matrix version of Newtons second Law.
If we have a finite structures and a way of calculating the total energy these two equations are all we need.
But when we add the macroscopic crystals $ then the equation of motion has an infinite number of variables. This we cannot solve straigth-forwardly.
(short 11)
To handle infinite systems we define the retarded Green’s function, D.
The Green’s function contains all the really interesting information about the vibrations, such as the frequency and the amplitude at a specific place in the structure.
-the density of states
The clever thing about the Green’s function is that it is possible to reduce the problem to a much smaller one.
$ A boundary term, called the self-energy, can account for the effect of the macroscopic crystals.
The self-energy term is a property of the leads so different systems with the same leads could be investigated wit the same self-energy.
Although constructing the self-energy is quite involved, I wont elaborate further due to time-constraints.
To handle infinite systems we define the retarded Green’s function, D.
The Green’s function contains all the really interesting information about the vibrations, such as the frequency and the amplitude at a specific place in the structure.
-the density of states
The clever thing about the Green’s function is that it is possible to reduce the problem to a much smaller one.
$ A boundary term, called the self-energy, can account for the effect of the macroscopic crystals.
The self-energy term is a property of the leads so different systems with the same leads could be investigated wit the same self-energy.
Although constructing the self-energy is quite involved, I wont elaborate further due to time-constraints.
To handle infinite systems we define the retarded Green’s function, D.
The Green’s function contains all the really interesting information about the vibrations, such as the frequency and the amplitude at a specific place in the structure.
-the density of states
The clever thing about the Green’s function is that it is possible to reduce the problem to a much smaller one.
$ A boundary term, called the self-energy, can account for the effect of the macroscopic crystals.
The self-energy term is a property of the leads so different systems with the same leads could be investigated wit the same self-energy.
Although constructing the self-energy is quite involved, I wont elaborate further due to time-constraints.
To handle infinite systems we define the retarded Green’s function, D.
The Green’s function contains all the really interesting information about the vibrations, such as the frequency and the amplitude at a specific place in the structure.
-the density of states
The clever thing about the Green’s function is that it is possible to reduce the problem to a much smaller one.
$ A boundary term, called the self-energy, can account for the effect of the macroscopic crystals.
The self-energy term is a property of the leads so different systems with the same leads could be investigated wit the same self-energy.
Although constructing the self-energy is quite involved, I wont elaborate further due to time-constraints.
In two regions 1 and 2(13 atoms each), K is considered to be perturbed by A compared to the perfect surface.
The self-energy can be calculated through the Green’s function of a perfect surface.
The size of the 1 and 2 regions are convergence parameters
Periodicity of the surface.
Periodic in directions parallel->fourier transform
Direction perpendicular-periodicity beyond first layers-recursive method
Dealing with infinite structures is a bit more complicated than dealing with finite ones.
$ Let us look at a finite system of three atoms.
The dynamics of this system can be analysed in terms of eigenmodes- distinct types of motion each with a specific frequency.
$ If these modes are set in motion they will occilate at their respective frequencies indefinately.
If we now couple this system to macroscopic leads $ we might still be able to define modes of the three-atom system- but some of these modes will be damped modes.
$ The amplitude of the vibrations will decrease with time as energy is transferred to the leads.
Dealing with infinite structures is a bit more complicated than dealing with finite ones.
$ Let us look at a finite system of three atoms.
The dynamics of this system can be analysed in terms of eigenmodes- distinct types of motion each with a specific frequency.
$ If these modes are set in motion they will occilate at their respective frequencies indefinately.
If we now couple this system to macroscopic leads $ we might still be able to define modes of the three-atom system- but some of these modes will be damped modes.
$ The amplitude of the vibrations will decrease with time as energy is transferred to the leads.
Dealing with infinite structures is a bit more complicated than dealing with finite ones.
$ Let us look at a finite system of three atoms.
The dynamics of this system can be analysed in terms of eigenmodes- distinct types of motion each with a specific frequency.
$ If these modes are set in motion they will occilate at their respective frequencies indefinately.
If we now couple this system to macroscopic leads $ we might still be able to define modes of the three-atom system- but some of these modes will be damped modes.
$ The amplitude of the vibrations will decrease with time as energy is transferred to the leads.
Dealing with infinite structures is a bit more complicated than dealing with finite ones.
$ Let us look at a finite system of three atoms.
The dynamics of this system can be analysed in terms of eigenmodes- distinct types of motion each with a specific frequency.
$ If these modes are set in motion they will occilate at their respective frequencies indefinately.
If we now couple this system to macroscopic leads $ we might still be able to define modes of the three-atom system- but some of these modes will be damped modes.
$ The amplitude of the vibrations will decrease with time as energy is transferred to the leads.
Dealing with infinite structures is a bit more complicated than dealing with finite ones.
$ Let us look at a finite system of three atoms.
The dynamics of this system can be analysed in terms of eigenmodes- distinct types of motion each with a specific frequency.
$ If these modes are set in motion they will occilate at their respective frequencies indefinately.
If we now couple this system to macroscopic leads $ we might still be able to define modes of the three-atom system- but some of these modes will be damped modes.
$ The amplitude of the vibrations will decrease with time as energy is transferred to the leads.
Dealing with infinite structures is a bit more complicated than dealing with finite ones.
$ Let us look at a finite system of three atoms.
The dynamics of this system can be analysed in terms of eigenmodes- distinct types of motion each with a specific frequency.
$ If these modes are set in motion they will occilate at their respective frequencies indefinately.
If we now couple this system to macroscopic leads $ we might still be able to define modes of the three-atom system- but some of these modes will be damped modes.
$ The amplitude of the vibrations will decrease with time as energy is transferred to the leads.
Dealing with infinite structures is a bit more complicated than dealing with finite ones.
$ Let us look at a finite system of three atoms.
The dynamics of this system can be analysed in terms of eigenmodes- distinct types of motion each with a specific frequency.
$ If these modes are set in motion they will occilate at their respective frequencies indefinately.
If we now couple this system to macroscopic leads $ we might still be able to define modes of the three-atom system- but some of these modes will be damped modes.
$ The amplitude of the vibrations will decrease with time as energy is transferred to the leads.
The damping of modes with time can be measured by the socalled Q-factor.
$ The Q-factor measures how well a specific mode retains energy, so the higher Q-factor the lower the heat dissipation for this mode.
$ Here we see the amplitude of two modes with the same frequency but with vastly different Q-factors. The initial motion of the Low-Q-factor mode quickly disappears while the high-Q-factor mode retains a large amplitude for a much longer period.
The damping of modes with time can be measured by the socalled Q-factor.
$ The Q-factor measures how well a specific mode retains energy, so the higher Q-factor the lower the heat dissipation for this mode.
$ Here we see the amplitude of two modes with the same frequency but with vastly different Q-factors. The initial motion of the Low-Q-factor mode quickly disappears while the high-Q-factor mode retains a large amplitude for a much longer period.
Now, all these methods that I have discussed actually had to be implemented.
And this implementation was no a simple task.
This diagram $ represents the core part of program I’ve developed during my Ph.D studies.
It shows how to get the Green’s function...
Self-energy much more complicated than I let on.
Parts of the program uses work by Thomas Frederiksen and Magnus Paulsson, but an additional 8000 lines of code has been written during the Phd. project which makes this a quite extensive programming project.
Let us now move on to examine some of the results I have found using these methods. First of all, let us take a closer at the gold chains that was used as an example in the method section of this talk.
One of the questions we wanted to answer is: How sensitive is the heat dissipation is to the exact configuration of the gold chains?
Plenty of studies use very crude models of heat dissipation so we basically wanted to see if the work I’d done was really nessecary.
Don’t let me hold you in suspense...we found that it was indeed nescesary:-)
We made an extensive study of chains with different lengths, $3, $4, $5, $6, and $7 atom chains
$ at different strain- pulling and pushing the chains as far as they would go without breaking in each direction
$ And finally we investigated chains between differently oriented crystals.
One of the questions we wanted to answer is: How sensitive is the heat dissipation is to the exact configuration of the gold chains?
Plenty of studies use very crude models of heat dissipation so we basically wanted to see if the work I’d done was really nessecary.
Don’t let me hold you in suspense...we found that it was indeed nescesary:-)
We made an extensive study of chains with different lengths, $3, $4, $5, $6, and $7 atom chains
$ at different strain- pulling and pushing the chains as far as they would go without breaking in each direction
$ And finally we investigated chains between differently oriented crystals.
One of the questions we wanted to answer is: How sensitive is the heat dissipation is to the exact configuration of the gold chains?
Plenty of studies use very crude models of heat dissipation so we basically wanted to see if the work I’d done was really nessecary.
Don’t let me hold you in suspense...we found that it was indeed nescesary:-)
We made an extensive study of chains with different lengths, $3, $4, $5, $6, and $7 atom chains
$ at different strain- pulling and pushing the chains as far as they would go without breaking in each direction
$ And finally we investigated chains between differently oriented crystals.
One of the questions we wanted to answer is: How sensitive is the heat dissipation is to the exact configuration of the gold chains?
Plenty of studies use very crude models of heat dissipation so we basically wanted to see if the work I’d done was really nessecary.
Don’t let me hold you in suspense...we found that it was indeed nescesary:-)
We made an extensive study of chains with different lengths, $3, $4, $5, $6, and $7 atom chains
$ at different strain- pulling and pushing the chains as far as they would go without breaking in each direction
$ And finally we investigated chains between differently oriented crystals.
One of the questions we wanted to answer is: How sensitive is the heat dissipation is to the exact configuration of the gold chains?
Plenty of studies use very crude models of heat dissipation so we basically wanted to see if the work I’d done was really nessecary.
Don’t let me hold you in suspense...we found that it was indeed nescesary:-)
We made an extensive study of chains with different lengths, $3, $4, $5, $6, and $7 atom chains
$ at different strain- pulling and pushing the chains as far as they would go without breaking in each direction
$ And finally we investigated chains between differently oriented crystals.
One of the questions we wanted to answer is: How sensitive is the heat dissipation is to the exact configuration of the gold chains?
Plenty of studies use very crude models of heat dissipation so we basically wanted to see if the work I’d done was really nessecary.
Don’t let me hold you in suspense...we found that it was indeed nescesary:-)
We made an extensive study of chains with different lengths, $3, $4, $5, $6, and $7 atom chains
$ at different strain- pulling and pushing the chains as far as they would go without breaking in each direction
$ And finally we investigated chains between differently oriented crystals.
One of the questions we wanted to answer is: How sensitive is the heat dissipation is to the exact configuration of the gold chains?
Plenty of studies use very crude models of heat dissipation so we basically wanted to see if the work I’d done was really nessecary.
Don’t let me hold you in suspense...we found that it was indeed nescesary:-)
We made an extensive study of chains with different lengths, $3, $4, $5, $6, and $7 atom chains
$ at different strain- pulling and pushing the chains as far as they would go without breaking in each direction
$ And finally we investigated chains between differently oriented crystals.
One of the questions we wanted to answer is: How sensitive is the heat dissipation is to the exact configuration of the gold chains?
Plenty of studies use very crude models of heat dissipation so we basically wanted to see if the work I’d done was really nessecary.
Don’t let me hold you in suspense...we found that it was indeed nescesary:-)
We made an extensive study of chains with different lengths, $3, $4, $5, $6, and $7 atom chains
$ at different strain- pulling and pushing the chains as far as they would go without breaking in each direction
$ And finally we investigated chains between differently oriented crystals.
One of the questions we wanted to answer is: How sensitive is the heat dissipation is to the exact configuration of the gold chains?
Plenty of studies use very crude models of heat dissipation so we basically wanted to see if the work I’d done was really nessecary.
Don’t let me hold you in suspense...we found that it was indeed nescesary:-)
We made an extensive study of chains with different lengths, $3, $4, $5, $6, and $7 atom chains
$ at different strain- pulling and pushing the chains as far as they would go without breaking in each direction
$ And finally we investigated chains between differently oriented crystals.
One of the questions we wanted to answer is: How sensitive is the heat dissipation is to the exact configuration of the gold chains?
Plenty of studies use very crude models of heat dissipation so we basically wanted to see if the work I’d done was really nessecary.
Don’t let me hold you in suspense...we found that it was indeed nescesary:-)
We made an extensive study of chains with different lengths, $3, $4, $5, $6, and $7 atom chains
$ at different strain- pulling and pushing the chains as far as they would go without breaking in each direction
$ And finally we investigated chains between differently oriented crystals.
One of the questions we wanted to answer is: How sensitive is the heat dissipation is to the exact configuration of the gold chains?
Plenty of studies use very crude models of heat dissipation so we basically wanted to see if the work I’d done was really nessecary.
Don’t let me hold you in suspense...we found that it was indeed nescesary:-)
We made an extensive study of chains with different lengths, $3, $4, $5, $6, and $7 atom chains
$ at different strain- pulling and pushing the chains as far as they would go without breaking in each direction
$ And finally we investigated chains between differently oriented crystals.
One of the questions we wanted to answer is: How sensitive is the heat dissipation is to the exact configuration of the gold chains?
Plenty of studies use very crude models of heat dissipation so we basically wanted to see if the work I’d done was really nessecary.
Don’t let me hold you in suspense...we found that it was indeed nescesary:-)
We made an extensive study of chains with different lengths, $3, $4, $5, $6, and $7 atom chains
$ at different strain- pulling and pushing the chains as far as they would go without breaking in each direction
$ And finally we investigated chains between differently oriented crystals.
One of the questions we wanted to answer is: How sensitive is the heat dissipation is to the exact configuration of the gold chains?
Plenty of studies use very crude models of heat dissipation so we basically wanted to see if the work I’d done was really nessecary.
Don’t let me hold you in suspense...we found that it was indeed nescesary:-)
We made an extensive study of chains with different lengths, $3, $4, $5, $6, and $7 atom chains
$ at different strain- pulling and pushing the chains as far as they would go without breaking in each direction
$ And finally we investigated chains between differently oriented crystals.
One of the questions we wanted to answer is: How sensitive is the heat dissipation is to the exact configuration of the gold chains?
Plenty of studies use very crude models of heat dissipation so we basically wanted to see if the work I’d done was really nessecary.
Don’t let me hold you in suspense...we found that it was indeed nescesary:-)
We made an extensive study of chains with different lengths, $3, $4, $5, $6, and $7 atom chains
$ at different strain- pulling and pushing the chains as far as they would go without breaking in each direction
$ And finally we investigated chains between differently oriented crystals.
One of the questions we wanted to answer is: How sensitive is the heat dissipation is to the exact configuration of the gold chains?
Plenty of studies use very crude models of heat dissipation so we basically wanted to see if the work I’d done was really nessecary.
Don’t let me hold you in suspense...we found that it was indeed nescesary:-)
We made an extensive study of chains with different lengths, $3, $4, $5, $6, and $7 atom chains
$ at different strain- pulling and pushing the chains as far as they would go without breaking in each direction
$ And finally we investigated chains between differently oriented crystals.
Needless to say the information on all the modes of all the variations of gold chains is huge.
So some effort is needed to condense all this information.
To do this we represent each mode of the system as a dot.
$ The modes with a large amplitude inside to chain are represented as black dots
The modes with large Q-factor $ are represented as large dots. These modes dissipate heat very slowly.
As I’ve illustrated here the modes with high Q-factor are the ones that do not cause the leads to osccilate.
$ And finally in the lower right corner we see the type of mode that is far most numorous in the total system since all modes in the crystals are of this type, low Q-factor and low amplitude in the chain.
Needless to say the information on all the modes of all the variations of gold chains is huge.
So some effort is needed to condense all this information.
To do this we represent each mode of the system as a dot.
$ The modes with a large amplitude inside to chain are represented as black dots
The modes with large Q-factor $ are represented as large dots. These modes dissipate heat very slowly.
As I’ve illustrated here the modes with high Q-factor are the ones that do not cause the leads to osccilate.
$ And finally in the lower right corner we see the type of mode that is far most numorous in the total system since all modes in the crystals are of this type, low Q-factor and low amplitude in the chain.
Needless to say the information on all the modes of all the variations of gold chains is huge.
So some effort is needed to condense all this information.
To do this we represent each mode of the system as a dot.
$ The modes with a large amplitude inside to chain are represented as black dots
The modes with large Q-factor $ are represented as large dots. These modes dissipate heat very slowly.
As I’ve illustrated here the modes with high Q-factor are the ones that do not cause the leads to osccilate.
$ And finally in the lower right corner we see the type of mode that is far most numorous in the total system since all modes in the crystals are of this type, low Q-factor and low amplitude in the chain.
Needless to say the information on all the modes of all the variations of gold chains is huge.
So some effort is needed to condense all this information.
To do this we represent each mode of the system as a dot.
$ The modes with a large amplitude inside to chain are represented as black dots
The modes with large Q-factor $ are represented as large dots. These modes dissipate heat very slowly.
As I’ve illustrated here the modes with high Q-factor are the ones that do not cause the leads to osccilate.
$ And finally in the lower right corner we see the type of mode that is far most numorous in the total system since all modes in the crystals are of this type, low Q-factor and low amplitude in the chain.
Needless to say the information on all the modes of all the variations of gold chains is huge.
So some effort is needed to condense all this information.
To do this we represent each mode of the system as a dot.
$ The modes with a large amplitude inside to chain are represented as black dots
The modes with large Q-factor $ are represented as large dots. These modes dissipate heat very slowly.
As I’ve illustrated here the modes with high Q-factor are the ones that do not cause the leads to osccilate.
$ And finally in the lower right corner we see the type of mode that is far most numorous in the total system since all modes in the crystals are of this type, low Q-factor and low amplitude in the chain.
Needless to say the information on all the modes of all the variations of gold chains is huge.
So some effort is needed to condense all this information.
To do this we represent each mode of the system as a dot.
$ The modes with a large amplitude inside to chain are represented as black dots
The modes with large Q-factor $ are represented as large dots. These modes dissipate heat very slowly.
As I’ve illustrated here the modes with high Q-factor are the ones that do not cause the leads to osccilate.
$ And finally in the lower right corner we see the type of mode that is far most numorous in the total system since all modes in the crystals are of this type, low Q-factor and low amplitude in the chain.
Needless to say the information on all the modes of all the variations of gold chains is huge.
So some effort is needed to condense all this information.
To do this we represent each mode of the system as a dot.
$ The modes with a large amplitude inside to chain are represented as black dots
The modes with large Q-factor $ are represented as large dots. These modes dissipate heat very slowly.
As I’ve illustrated here the modes with high Q-factor are the ones that do not cause the leads to osccilate.
$ And finally in the lower right corner we see the type of mode that is far most numorous in the total system since all modes in the crystals are of this type, low Q-factor and low amplitude in the chain.
Needless to say the information on all the modes of all the variations of gold chains is huge.
So some effort is needed to condense all this information.
To do this we represent each mode of the system as a dot.
$ The modes with a large amplitude inside to chain are represented as black dots
The modes with large Q-factor $ are represented as large dots. These modes dissipate heat very slowly.
As I’ve illustrated here the modes with high Q-factor are the ones that do not cause the leads to osccilate.
$ And finally in the lower right corner we see the type of mode that is far most numorous in the total system since all modes in the crystals are of this type, low Q-factor and low amplitude in the chain.
Needless to say the information on all the modes of all the variations of gold chains is huge.
So some effort is needed to condense all this information.
To do this we represent each mode of the system as a dot.
$ The modes with a large amplitude inside to chain are represented as black dots
The modes with large Q-factor $ are represented as large dots. These modes dissipate heat very slowly.
As I’ve illustrated here the modes with high Q-factor are the ones that do not cause the leads to osccilate.
$ And finally in the lower right corner we see the type of mode that is far most numorous in the total system since all modes in the crystals are of this type, low Q-factor and low amplitude in the chain.
Needless to say the information on all the modes of all the variations of gold chains is huge.
So some effort is needed to condense all this information.
To do this we represent each mode of the system as a dot.
$ The modes with a large amplitude inside to chain are represented as black dots
The modes with large Q-factor $ are represented as large dots. These modes dissipate heat very slowly.
As I’ve illustrated here the modes with high Q-factor are the ones that do not cause the leads to osccilate.
$ And finally in the lower right corner we see the type of mode that is far most numorous in the total system since all modes in the crystals are of this type, low Q-factor and low amplitude in the chain.
Needless to say the information on all the modes of all the variations of gold chains is huge.
So some effort is needed to condense all this information.
To do this we represent each mode of the system as a dot.
$ The modes with a large amplitude inside to chain are represented as black dots
The modes with large Q-factor $ are represented as large dots. These modes dissipate heat very slowly.
As I’ve illustrated here the modes with high Q-factor are the ones that do not cause the leads to osccilate.
$ And finally in the lower right corner we see the type of mode that is far most numorous in the total system since all modes in the crystals are of this type, low Q-factor and low amplitude in the chain.
Needless to say the information on all the modes of all the variations of gold chains is huge.
So some effort is needed to condense all this information.
To do this we represent each mode of the system as a dot.
$ The modes with a large amplitude inside to chain are represented as black dots
The modes with large Q-factor $ are represented as large dots. These modes dissipate heat very slowly.
As I’ve illustrated here the modes with high Q-factor are the ones that do not cause the leads to osccilate.
$ And finally in the lower right corner we see the type of mode that is far most numorous in the total system since all modes in the crystals are of this type, low Q-factor and low amplitude in the chain.
Needless to say the information on all the modes of all the variations of gold chains is huge.
So some effort is needed to condense all this information.
To do this we represent each mode of the system as a dot.
$ The modes with a large amplitude inside to chain are represented as black dots
The modes with large Q-factor $ are represented as large dots. These modes dissipate heat very slowly.
As I’ve illustrated here the modes with high Q-factor are the ones that do not cause the leads to osccilate.
$ And finally in the lower right corner we see the type of mode that is far most numorous in the total system since all modes in the crystals are of this type, low Q-factor and low amplitude in the chain.
Needless to say the information on all the modes of all the variations of gold chains is huge.
So some effort is needed to condense all this information.
To do this we represent each mode of the system as a dot.
$ The modes with a large amplitude inside to chain are represented as black dots
The modes with large Q-factor $ are represented as large dots. These modes dissipate heat very slowly.
As I’ve illustrated here the modes with high Q-factor are the ones that do not cause the leads to osccilate.
$ And finally in the lower right corner we see the type of mode that is far most numorous in the total system since all modes in the crystals are of this type, low Q-factor and low amplitude in the chain.
Let us look at the chain with 7 atoms at different strains
$ In this plot the horisontal axis is the average distance between the atoms in the chain.
Each vertical line of dots represent all the modes from one calculation.
I would like to direct your attention to the diagonal line of modes with high Q-factor in this plot.
$ These modes represent a similar type of motion inside the chain and yet we see a huge variation in the Q-factor- from 40 to 1500 with only a minor increase in the average distance between the atoms in the chain.
$ This is the calculated mode osccilation corresponding to the high Q-factor mode.
(10+11)
Let us look at the chain with 7 atoms at different strains
$ In this plot the horisontal axis is the average distance between the atoms in the chain.
Each vertical line of dots represent all the modes from one calculation.
I would like to direct your attention to the diagonal line of modes with high Q-factor in this plot.
$ These modes represent a similar type of motion inside the chain and yet we see a huge variation in the Q-factor- from 40 to 1500 with only a minor increase in the average distance between the atoms in the chain.
$ This is the calculated mode osccilation corresponding to the high Q-factor mode.
(10+11)
Let us look at the chain with 7 atoms at different strains
$ In this plot the horisontal axis is the average distance between the atoms in the chain.
Each vertical line of dots represent all the modes from one calculation.
I would like to direct your attention to the diagonal line of modes with high Q-factor in this plot.
$ These modes represent a similar type of motion inside the chain and yet we see a huge variation in the Q-factor- from 40 to 1500 with only a minor increase in the average distance between the atoms in the chain.
$ This is the calculated mode osccilation corresponding to the high Q-factor mode.
(10+11)
Let us look at the chain with 7 atoms at different strains
$ In this plot the horisontal axis is the average distance between the atoms in the chain.
Each vertical line of dots represent all the modes from one calculation.
I would like to direct your attention to the diagonal line of modes with high Q-factor in this plot.
$ These modes represent a similar type of motion inside the chain and yet we see a huge variation in the Q-factor- from 40 to 1500 with only a minor increase in the average distance between the atoms in the chain.
$ This is the calculated mode osccilation corresponding to the high Q-factor mode.
(10+11)
Short chains->long chains
Larger Q-factors
Greater variation in damping
(variation an order of magnitude larger)‏
Similar peak energies
Generally stronger localisation for (111) than (100)‏
Different type of variation
Little difference when breaking symmetry(not shown)‏
I will not go through the entire study with 3-7 length chains and different crystal directions, but only mention the main conclusions.
$First of all, we found that the damping can fall off to extremely low values, as low as 5 micro -electron-volts- a value 1000s of times lower than the peak energy.
$This minimal value also matches that of a previous study based on experimental data.
$Secondly, the damping is very sensitive
-to the atomic structure of the system, to the crystal direction, to the length of the chain and to the precise value of the average distance between the atoms.
The precise atomic configuration around these chains must be taken accurately into account to predict heat dissipation.
$ This is perhaps the most important conclusion, since similar narrow junctions between gold electrodes are often investigated
-both experimentally and theoretically.
I will not go through the entire study with 3-7 length chains and different crystal directions, but only mention the main conclusions.
$First of all, we found that the damping can fall off to extremely low values, as low as 5 micro -electron-volts- a value 1000s of times lower than the peak energy.
$This minimal value also matches that of a previous study based on experimental data.
$Secondly, the damping is very sensitive
-to the atomic structure of the system, to the crystal direction, to the length of the chain and to the precise value of the average distance between the atoms.
The precise atomic configuration around these chains must be taken accurately into account to predict heat dissipation.
$ This is perhaps the most important conclusion, since similar narrow junctions between gold electrodes are often investigated
-both experimentally and theoretically.
I will not go through the entire study with 3-7 length chains and different crystal directions, but only mention the main conclusions.
$First of all, we found that the damping can fall off to extremely low values, as low as 5 micro -electron-volts- a value 1000s of times lower than the peak energy.
$This minimal value also matches that of a previous study based on experimental data.
$Secondly, the damping is very sensitive
-to the atomic structure of the system, to the crystal direction, to the length of the chain and to the precise value of the average distance between the atoms.
The precise atomic configuration around these chains must be taken accurately into account to predict heat dissipation.
$ This is perhaps the most important conclusion, since similar narrow junctions between gold electrodes are often investigated
-both experimentally and theoretically.
I will not go through the entire study with 3-7 length chains and different crystal directions, but only mention the main conclusions.
$First of all, we found that the damping can fall off to extremely low values, as low as 5 micro -electron-volts- a value 1000s of times lower than the peak energy.
$This minimal value also matches that of a previous study based on experimental data.
$Secondly, the damping is very sensitive
-to the atomic structure of the system, to the crystal direction, to the length of the chain and to the precise value of the average distance between the atoms.
The precise atomic configuration around these chains must be taken accurately into account to predict heat dissipation.
$ This is perhaps the most important conclusion, since similar narrow junctions between gold electrodes are often investigated
-both experimentally and theoretically.
I will not go through the entire study with 3-7 length chains and different crystal directions, but only mention the main conclusions.
$First of all, we found that the damping can fall off to extremely low values, as low as 5 micro -electron-volts- a value 1000s of times lower than the peak energy.
$This minimal value also matches that of a previous study based on experimental data.
$Secondly, the damping is very sensitive
-to the atomic structure of the system, to the crystal direction, to the length of the chain and to the precise value of the average distance between the atoms.
The precise atomic configuration around these chains must be taken accurately into account to predict heat dissipation.
$ This is perhaps the most important conclusion, since similar narrow junctions between gold electrodes are often investigated
-both experimentally and theoretically.
I’ve mentioned graphene a few times already but now we move on to section of the talk entirely devoted to this remarkable material.
Graphene is a single layer or few layers of carbon atoms arranged in a hexagonal grid and it has some very exotic material properties. In the picture you see the electronic energy dispersion of graphene. We see that the two seperate surfaces are just touching in six distinct points at the Fermi surface- This is a highly unusual feature indeed. But it’s actually not what makes graphene so interesting from an applications point of view.
instead it’s the
$ increadible strength and flexibility of graphene
$ the extrordinary mobility of electrons in graphene that makes very fast electronics possible.
$ and finally the hexagonal structure, common to graphene and carbon nanotubes, is a very effective heat conductor.
And, carbon is literally dirt cheap.
(short 11+10)
Graphene is a single layer or few layers of carbon atoms arranged in a hexagonal grid and it has some very exotic material properties. In the picture you see the electronic energy dispersion of graphene. We see that the two seperate surfaces are just touching in six distinct points at the Fermi surface- This is a highly unusual feature indeed. But it’s actually not what makes graphene so interesting from an applications point of view.
instead it’s the
$ increadible strength and flexibility of graphene
$ the extrordinary mobility of electrons in graphene that makes very fast electronics possible.
$ and finally the hexagonal structure, common to graphene and carbon nanotubes, is a very effective heat conductor.
And, carbon is literally dirt cheap.
(short 11+10)
Graphene is a single layer or few layers of carbon atoms arranged in a hexagonal grid and it has some very exotic material properties. In the picture you see the electronic energy dispersion of graphene. We see that the two seperate surfaces are just touching in six distinct points at the Fermi surface- This is a highly unusual feature indeed. But it’s actually not what makes graphene so interesting from an applications point of view.
instead it’s the
$ increadible strength and flexibility of graphene
$ the extrordinary mobility of electrons in graphene that makes very fast electronics possible.
$ and finally the hexagonal structure, common to graphene and carbon nanotubes, is a very effective heat conductor.
And, carbon is literally dirt cheap.
(short 11+10)
Graphene is a single layer or few layers of carbon atoms arranged in a hexagonal grid and it has some very exotic material properties. In the picture you see the electronic energy dispersion of graphene. We see that the two seperate surfaces are just touching in six distinct points at the Fermi surface- This is a highly unusual feature indeed. But it’s actually not what makes graphene so interesting from an applications point of view.
instead it’s the
$ increadible strength and flexibility of graphene
$ the extrordinary mobility of electrons in graphene that makes very fast electronics possible.
$ and finally the hexagonal structure, common to graphene and carbon nanotubes, is a very effective heat conductor.
And, carbon is literally dirt cheap.
(short 11+10)
Graphene is a single layer or few layers of carbon atoms arranged in a hexagonal grid and it has some very exotic material properties. In the picture you see the electronic energy dispersion of graphene. We see that the two seperate surfaces are just touching in six distinct points at the Fermi surface- This is a highly unusual feature indeed. But it’s actually not what makes graphene so interesting from an applications point of view.
instead it’s the
$ increadible strength and flexibility of graphene
$ the extrordinary mobility of electrons in graphene that makes very fast electronics possible.
$ and finally the hexagonal structure, common to graphene and carbon nanotubes, is a very effective heat conductor.
And, carbon is literally dirt cheap.
(short 11+10)
Graphene is a single layer or few layers of carbon atoms arranged in a hexagonal grid and it has some very exotic material properties. In the picture you see the electronic energy dispersion of graphene. We see that the two seperate surfaces are just touching in six distinct points at the Fermi surface- This is a highly unusual feature indeed. But it’s actually not what makes graphene so interesting from an applications point of view.
instead it’s the
$ increadible strength and flexibility of graphene
$ the extrordinary mobility of electrons in graphene that makes very fast electronics possible.
$ and finally the hexagonal structure, common to graphene and carbon nanotubes, is a very effective heat conductor.
And, carbon is literally dirt cheap.
(short 11+10)
Graphene is a single layer or few layers of carbon atoms arranged in a hexagonal grid and it has some very exotic material properties. In the picture you see the electronic energy dispersion of graphene. We see that the two seperate surfaces are just touching in six distinct points at the Fermi surface- This is a highly unusual feature indeed. But it’s actually not what makes graphene so interesting from an applications point of view.
instead it’s the
$ increadible strength and flexibility of graphene
$ the extrordinary mobility of electrons in graphene that makes very fast electronics possible.
$ and finally the hexagonal structure, common to graphene and carbon nanotubes, is a very effective heat conductor.
And, carbon is literally dirt cheap.
(short 11+10)
But what more specifically motivated us to study graphene was this experiment.
In this frame we see a structure of disordered graphene flakes overlapping. I think it is even possible to see individual atoms if you strain your eyes.
$ As the experimenters passed an electronic current through the sample atoms started evaporating.
$ If you follow the red arrow we see one type of edge growing while another is retreating.
$
$ Finally one of the edges have completely disappeared.
The net effect is that fewer distinct edges exist which reduces the roughness of the flake edges.
$ What we see here.....
The really interesting part is that the effect depends on the direction of the electronic current compared to the direction of the edges.
The sample is not simply heated up- it is a more precise manipulation of the edges.
And who knows what level of control we could acheive if we could understand this process
But what more specifically motivated us to study graphene was this experiment.
In this frame we see a structure of disordered graphene flakes overlapping. I think it is even possible to see individual atoms if you strain your eyes.
$ As the experimenters passed an electronic current through the sample atoms started evaporating.
$ If you follow the red arrow we see one type of edge growing while another is retreating.
$
$ Finally one of the edges have completely disappeared.
The net effect is that fewer distinct edges exist which reduces the roughness of the flake edges.
$ What we see here.....
The really interesting part is that the effect depends on the direction of the electronic current compared to the direction of the edges.
The sample is not simply heated up- it is a more precise manipulation of the edges.
And who knows what level of control we could acheive if we could understand this process
But what more specifically motivated us to study graphene was this experiment.
In this frame we see a structure of disordered graphene flakes overlapping. I think it is even possible to see individual atoms if you strain your eyes.
$ As the experimenters passed an electronic current through the sample atoms started evaporating.
$ If you follow the red arrow we see one type of edge growing while another is retreating.
$
$ Finally one of the edges have completely disappeared.
The net effect is that fewer distinct edges exist which reduces the roughness of the flake edges.
$ What we see here.....
The really interesting part is that the effect depends on the direction of the electronic current compared to the direction of the edges.
The sample is not simply heated up- it is a more precise manipulation of the edges.
And who knows what level of control we could acheive if we could understand this process
But what more specifically motivated us to study graphene was this experiment.
In this frame we see a structure of disordered graphene flakes overlapping. I think it is even possible to see individual atoms if you strain your eyes.
$ As the experimenters passed an electronic current through the sample atoms started evaporating.
$ If you follow the red arrow we see one type of edge growing while another is retreating.
$
$ Finally one of the edges have completely disappeared.
The net effect is that fewer distinct edges exist which reduces the roughness of the flake edges.
$ What we see here.....
The really interesting part is that the effect depends on the direction of the electronic current compared to the direction of the edges.
The sample is not simply heated up- it is a more precise manipulation of the edges.
And who knows what level of control we could acheive if we could understand this process
But what more specifically motivated us to study graphene was this experiment.
In this frame we see a structure of disordered graphene flakes overlapping. I think it is even possible to see individual atoms if you strain your eyes.
$ As the experimenters passed an electronic current through the sample atoms started evaporating.
$ If you follow the red arrow we see one type of edge growing while another is retreating.
$
$ Finally one of the edges have completely disappeared.
The net effect is that fewer distinct edges exist which reduces the roughness of the flake edges.
$ What we see here.....
The really interesting part is that the effect depends on the direction of the electronic current compared to the direction of the edges.
The sample is not simply heated up- it is a more precise manipulation of the edges.
And who knows what level of control we could acheive if we could understand this process
We made an investigation of the vibrations in structures that mixes edges of different type. And we believe to have found a very good candidate for the process behind the evaporation of the edges.
For these system we noticed a class of modes that all share some characteristics.
$ The modes are similar to modes of finite structures with a definite frequency and no damping and the modes are combinations of simple types of motion at a specific edge- the socalled armchair edge.
$ This basic type of motion is not damped by the vibrations in the graphene sheet because the bond between the two outer carbon atoms is very strong- even stronger than the bond inside the graphene sheet which is one of the strongest bonds known. This mismatch makes the vibration incompatible with the vibrations in the sheet.
We made an investigation of the vibrations in structures that mixes edges of different type. And we believe to have found a very good candidate for the process behind the evaporation of the edges.
For these system we noticed a class of modes that all share some characteristics.
$ The modes are similar to modes of finite structures with a definite frequency and no damping and the modes are combinations of simple types of motion at a specific edge- the socalled armchair edge.
$ This basic type of motion is not damped by the vibrations in the graphene sheet because the bond between the two outer carbon atoms is very strong- even stronger than the bond inside the graphene sheet which is one of the strongest bonds known. This mismatch makes the vibration incompatible with the vibrations in the sheet.
We made an investigation of the vibrations in structures that mixes edges of different type. And we believe to have found a very good candidate for the process behind the evaporation of the edges.
For these system we noticed a class of modes that all share some characteristics.
$ The modes are similar to modes of finite structures with a definite frequency and no damping and the modes are combinations of simple types of motion at a specific edge- the socalled armchair edge.
$ This basic type of motion is not damped by the vibrations in the graphene sheet because the bond between the two outer carbon atoms is very strong- even stronger than the bond inside the graphene sheet which is one of the strongest bonds known. This mismatch makes the vibration incompatible with the vibrations in the sheet.
When a mode is coupled to large reservoir of vibrations then the temperature of the mode is the same as that of the reservoir. It could actually just as well be considered as part of the reservoir.
It doesn’t really matter that electrons also couple to the mode $ because this coupling will mostly be feable in comparison.
But if the coupling to the vibrations isen’t there $ then it is a different matter.
Then the mode will only exchange energy with electrons, and even if this happens rarely- the mode will reach an equilibrium with the electrons.
$ If no electronic current flows the mode will simply have the same temperature as the electronic system.
But if a current flows however something much more violent- and complicated $ can happen.
When a mode is coupled to large reservoir of vibrations then the temperature of the mode is the same as that of the reservoir. It could actually just as well be considered as part of the reservoir.
It doesn’t really matter that electrons also couple to the mode $ because this coupling will mostly be feable in comparison.
But if the coupling to the vibrations isen’t there $ then it is a different matter.
Then the mode will only exchange energy with electrons, and even if this happens rarely- the mode will reach an equilibrium with the electrons.
$ If no electronic current flows the mode will simply have the same temperature as the electronic system.
But if a current flows however something much more violent- and complicated $ can happen.
When a mode is coupled to large reservoir of vibrations then the temperature of the mode is the same as that of the reservoir. It could actually just as well be considered as part of the reservoir.
It doesn’t really matter that electrons also couple to the mode $ because this coupling will mostly be feable in comparison.
But if the coupling to the vibrations isen’t there $ then it is a different matter.
Then the mode will only exchange energy with electrons, and even if this happens rarely- the mode will reach an equilibrium with the electrons.
$ If no electronic current flows the mode will simply have the same temperature as the electronic system.
But if a current flows however something much more violent- and complicated $ can happen.
When a mode is coupled to large reservoir of vibrations then the temperature of the mode is the same as that of the reservoir. It could actually just as well be considered as part of the reservoir.
It doesn’t really matter that electrons also couple to the mode $ because this coupling will mostly be feable in comparison.
But if the coupling to the vibrations isen’t there $ then it is a different matter.
Then the mode will only exchange energy with electrons, and even if this happens rarely- the mode will reach an equilibrium with the electrons.
$ If no electronic current flows the mode will simply have the same temperature as the electronic system.
But if a current flows however something much more violent- and complicated $ can happen.
When a mode is coupled to large reservoir of vibrations then the temperature of the mode is the same as that of the reservoir. It could actually just as well be considered as part of the reservoir.
It doesn’t really matter that electrons also couple to the mode $ because this coupling will mostly be feable in comparison.
But if the coupling to the vibrations isen’t there $ then it is a different matter.
Then the mode will only exchange energy with electrons, and even if this happens rarely- the mode will reach an equilibrium with the electrons.
$ If no electronic current flows the mode will simply have the same temperature as the electronic system.
But if a current flows however something much more violent- and complicated $ can happen.
Let us examine what happens when a current is flowing from left to right in this system.
$ If and electron comes in from the left there are several thing that can happen.
$ First of all, there is a chance that the electron reaches the right without exchanging energy with the mode
$ Secondly, the electron can exchange energy with the mode and scatter back
$ This is a diagram of the potential energy of electrons, the boxes represent occupied electronic state.
And in this picture the bias that allows the current to flow is simply the difference in height between the occupied levels.
$The electron comes in from one of the occupied levels in the left and exchanges energy with the vibration.
$ If the electron scatteres back then the vibration cannot gain energy because the electron cannot go down in energy since these states are already occupied.
$ The vibration can however loose energy because the electron can go up in energy.
So backward scattering can only cause the vibration to loose energy.
$ If the electron exchanges energy with the mode and scatters forward however then the vibration can both
$loose -and $gain energy
All these three events happen randomly- sometimes the vibration gets a little energy and sometimes it is taken away.
The average energy contained in the mode we can interpret as an effective temperature.
How hot the mode gets is determined by the relative probability of the forward and backwards scattering which is something that varies from mode to mode.
The experts will realize I’ve assumed that the system is conducting, which we have verified that this is.
(11+10+6)
Let us examine what happens when a current is flowing from left to right in this system.
$ If and electron comes in from the left there are several thing that can happen.
$ First of all, there is a chance that the electron reaches the right without exchanging energy with the mode
$ Secondly, the electron can exchange energy with the mode and scatter back
$ This is a diagram of the potential energy of electrons, the boxes represent occupied electronic state.
And in this picture the bias that allows the current to flow is simply the difference in height between the occupied levels.
$The electron comes in from one of the occupied levels in the left and exchanges energy with the vibration.
$ If the electron scatteres back then the vibration cannot gain energy because the electron cannot go down in energy since these states are already occupied.
$ The vibration can however loose energy because the electron can go up in energy.
So backward scattering can only cause the vibration to loose energy.
$ If the electron exchanges energy with the mode and scatters forward however then the vibration can both
$loose -and $gain energy
All these three events happen randomly- sometimes the vibration gets a little energy and sometimes it is taken away.
The average energy contained in the mode we can interpret as an effective temperature.
How hot the mode gets is determined by the relative probability of the forward and backwards scattering which is something that varies from mode to mode.
The experts will realize I’ve assumed that the system is conducting, which we have verified that this is.
(11+10+6)
Let us examine what happens when a current is flowing from left to right in this system.
$ If and electron comes in from the left there are several thing that can happen.
$ First of all, there is a chance that the electron reaches the right without exchanging energy with the mode
$ Secondly, the electron can exchange energy with the mode and scatter back
$ This is a diagram of the potential energy of electrons, the boxes represent occupied electronic state.
And in this picture the bias that allows the current to flow is simply the difference in height between the occupied levels.
$The electron comes in from one of the occupied levels in the left and exchanges energy with the vibration.
$ If the electron scatteres back then the vibration cannot gain energy because the electron cannot go down in energy since these states are already occupied.
$ The vibration can however loose energy because the electron can go up in energy.
So backward scattering can only cause the vibration to loose energy.
$ If the electron exchanges energy with the mode and scatters forward however then the vibration can both
$loose -and $gain energy
All these three events happen randomly- sometimes the vibration gets a little energy and sometimes it is taken away.
The average energy contained in the mode we can interpret as an effective temperature.
How hot the mode gets is determined by the relative probability of the forward and backwards scattering which is something that varies from mode to mode.
The experts will realize I’ve assumed that the system is conducting, which we have verified that this is.
(11+10+6)
Let us examine what happens when a current is flowing from left to right in this system.
$ If and electron comes in from the left there are several thing that can happen.
$ First of all, there is a chance that the electron reaches the right without exchanging energy with the mode
$ Secondly, the electron can exchange energy with the mode and scatter back
$ This is a diagram of the potential energy of electrons, the boxes represent occupied electronic state.
And in this picture the bias that allows the current to flow is simply the difference in height between the occupied levels.
$The electron comes in from one of the occupied levels in the left and exchanges energy with the vibration.
$ If the electron scatteres back then the vibration cannot gain energy because the electron cannot go down in energy since these states are already occupied.
$ The vibration can however loose energy because the electron can go up in energy.
So backward scattering can only cause the vibration to loose energy.
$ If the electron exchanges energy with the mode and scatters forward however then the vibration can both
$loose -and $gain energy
All these three events happen randomly- sometimes the vibration gets a little energy and sometimes it is taken away.
The average energy contained in the mode we can interpret as an effective temperature.
How hot the mode gets is determined by the relative probability of the forward and backwards scattering which is something that varies from mode to mode.
The experts will realize I’ve assumed that the system is conducting, which we have verified that this is.
(11+10+6)
Let us examine what happens when a current is flowing from left to right in this system.
$ If and electron comes in from the left there are several thing that can happen.
$ First of all, there is a chance that the electron reaches the right without exchanging energy with the mode
$ Secondly, the electron can exchange energy with the mode and scatter back
$ This is a diagram of the potential energy of electrons, the boxes represent occupied electronic state.
And in this picture the bias that allows the current to flow is simply the difference in height between the occupied levels.
$The electron comes in from one of the occupied levels in the left and exchanges energy with the vibration.
$ If the electron scatteres back then the vibration cannot gain energy because the electron cannot go down in energy since these states are already occupied.
$ The vibration can however loose energy because the electron can go up in energy.
So backward scattering can only cause the vibration to loose energy.
$ If the electron exchanges energy with the mode and scatters forward however then the vibration can both
$loose -and $gain energy
All these three events happen randomly- sometimes the vibration gets a little energy and sometimes it is taken away.
The average energy contained in the mode we can interpret as an effective temperature.
How hot the mode gets is determined by the relative probability of the forward and backwards scattering which is something that varies from mode to mode.
The experts will realize I’ve assumed that the system is conducting, which we have verified that this is.
(11+10+6)
Let us examine what happens when a current is flowing from left to right in this system.
$ If and electron comes in from the left there are several thing that can happen.
$ First of all, there is a chance that the electron reaches the right without exchanging energy with the mode
$ Secondly, the electron can exchange energy with the mode and scatter back
$ This is a diagram of the potential energy of electrons, the boxes represent occupied electronic state.
And in this picture the bias that allows the current to flow is simply the difference in height between the occupied levels.
$The electron comes in from one of the occupied levels in the left and exchanges energy with the vibration.
$ If the electron scatteres back then the vibration cannot gain energy because the electron cannot go down in energy since these states are already occupied.
$ The vibration can however loose energy because the electron can go up in energy.
So backward scattering can only cause the vibration to loose energy.
$ If the electron exchanges energy with the mode and scatters forward however then the vibration can both
$loose -and $gain energy
All these three events happen randomly- sometimes the vibration gets a little energy and sometimes it is taken away.
The average energy contained in the mode we can interpret as an effective temperature.
How hot the mode gets is determined by the relative probability of the forward and backwards scattering which is something that varies from mode to mode.
The experts will realize I’ve assumed that the system is conducting, which we have verified that this is.
(11+10+6)
Let us examine what happens when a current is flowing from left to right in this system.
$ If and electron comes in from the left there are several thing that can happen.
$ First of all, there is a chance that the electron reaches the right without exchanging energy with the mode
$ Secondly, the electron can exchange energy with the mode and scatter back
$ This is a diagram of the potential energy of electrons, the boxes represent occupied electronic state.
And in this picture the bias that allows the current to flow is simply the difference in height between the occupied levels.
$The electron comes in from one of the occupied levels in the left and exchanges energy with the vibration.
$ If the electron scatteres back then the vibration cannot gain energy because the electron cannot go down in energy since these states are already occupied.
$ The vibration can however loose energy because the electron can go up in energy.
So backward scattering can only cause the vibration to loose energy.
$ If the electron exchanges energy with the mode and scatters forward however then the vibration can both
$loose -and $gain energy
All these three events happen randomly- sometimes the vibration gets a little energy and sometimes it is taken away.
The average energy contained in the mode we can interpret as an effective temperature.
How hot the mode gets is determined by the relative probability of the forward and backwards scattering which is something that varies from mode to mode.
The experts will realize I’ve assumed that the system is conducting, which we have verified that this is.
(11+10+6)
Let us examine what happens when a current is flowing from left to right in this system.
$ If and electron comes in from the left there are several thing that can happen.
$ First of all, there is a chance that the electron reaches the right without exchanging energy with the mode
$ Secondly, the electron can exchange energy with the mode and scatter back
$ This is a diagram of the potential energy of electrons, the boxes represent occupied electronic state.
And in this picture the bias that allows the current to flow is simply the difference in height between the occupied levels.
$The electron comes in from one of the occupied levels in the left and exchanges energy with the vibration.
$ If the electron scatteres back then the vibration cannot gain energy because the electron cannot go down in energy since these states are already occupied.
$ The vibration can however loose energy because the electron can go up in energy.
So backward scattering can only cause the vibration to loose energy.
$ If the electron exchanges energy with the mode and scatters forward however then the vibration can both
$loose -and $gain energy
All these three events happen randomly- sometimes the vibration gets a little energy and sometimes it is taken away.
The average energy contained in the mode we can interpret as an effective temperature.
How hot the mode gets is determined by the relative probability of the forward and backwards scattering which is something that varies from mode to mode.
The experts will realize I’ve assumed that the system is conducting, which we have verified that this is.
(11+10+6)
Let us examine what happens when a current is flowing from left to right in this system.
$ If and electron comes in from the left there are several thing that can happen.
$ First of all, there is a chance that the electron reaches the right without exchanging energy with the mode
$ Secondly, the electron can exchange energy with the mode and scatter back
$ This is a diagram of the potential energy of electrons, the boxes represent occupied electronic state.
And in this picture the bias that allows the current to flow is simply the difference in height between the occupied levels.
$The electron comes in from one of the occupied levels in the left and exchanges energy with the vibration.
$ If the electron scatteres back then the vibration cannot gain energy because the electron cannot go down in energy since these states are already occupied.
$ The vibration can however loose energy because the electron can go up in energy.
So backward scattering can only cause the vibration to loose energy.
$ If the electron exchanges energy with the mode and scatters forward however then the vibration can both
$loose -and $gain energy
All these three events happen randomly- sometimes the vibration gets a little energy and sometimes it is taken away.
The average energy contained in the mode we can interpret as an effective temperature.
How hot the mode gets is determined by the relative probability of the forward and backwards scattering which is something that varies from mode to mode.
The experts will realize I’ve assumed that the system is conducting, which we have verified that this is.
(11+10+6)
Let us examine what happens when a current is flowing from left to right in this system.
$ If and electron comes in from the left there are several thing that can happen.
$ First of all, there is a chance that the electron reaches the right without exchanging energy with the mode
$ Secondly, the electron can exchange energy with the mode and scatter back
$ This is a diagram of the potential energy of electrons, the boxes represent occupied electronic state.
And in this picture the bias that allows the current to flow is simply the difference in height between the occupied levels.
$The electron comes in from one of the occupied levels in the left and exchanges energy with the vibration.
$ If the electron scatteres back then the vibration cannot gain energy because the electron cannot go down in energy since these states are already occupied.
$ The vibration can however loose energy because the electron can go up in energy.
So backward scattering can only cause the vibration to loose energy.
$ If the electron exchanges energy with the mode and scatters forward however then the vibration can both
$loose -and $gain energy
All these three events happen randomly- sometimes the vibration gets a little energy and sometimes it is taken away.
The average energy contained in the mode we can interpret as an effective temperature.
How hot the mode gets is determined by the relative probability of the forward and backwards scattering which is something that varies from mode to mode.
The experts will realize I’ve assumed that the system is conducting, which we have verified that this is.
(11+10+6)
Let us examine what happens when a current is flowing from left to right in this system.
$ If and electron comes in from the left there are several thing that can happen.
$ First of all, there is a chance that the electron reaches the right without exchanging energy with the mode
$ Secondly, the electron can exchange energy with the mode and scatter back
$ This is a diagram of the potential energy of electrons, the boxes represent occupied electronic state.
And in this picture the bias that allows the current to flow is simply the difference in height between the occupied levels.
$The electron comes in from one of the occupied levels in the left and exchanges energy with the vibration.
$ If the electron scatteres back then the vibration cannot gain energy because the electron cannot go down in energy since these states are already occupied.
$ The vibration can however loose energy because the electron can go up in energy.
So backward scattering can only cause the vibration to loose energy.
$ If the electron exchanges energy with the mode and scatters forward however then the vibration can both
$loose -and $gain energy
All these three events happen randomly- sometimes the vibration gets a little energy and sometimes it is taken away.
The average energy contained in the mode we can interpret as an effective temperature.
How hot the mode gets is determined by the relative probability of the forward and backwards scattering which is something that varies from mode to mode.
The experts will realize I’ve assumed that the system is conducting, which we have verified that this is.
(11+10+6)
Let us examine what happens when a current is flowing from left to right in this system.
$ If and electron comes in from the left there are several thing that can happen.
$ First of all, there is a chance that the electron reaches the right without exchanging energy with the mode
$ Secondly, the electron can exchange energy with the mode and scatter back
$ This is a diagram of the potential energy of electrons, the boxes represent occupied electronic state.
And in this picture the bias that allows the current to flow is simply the difference in height between the occupied levels.
$The electron comes in from one of the occupied levels in the left and exchanges energy with the vibration.
$ If the electron scatteres back then the vibration cannot gain energy because the electron cannot go down in energy since these states are already occupied.
$ The vibration can however loose energy because the electron can go up in energy.
So backward scattering can only cause the vibration to loose energy.
$ If the electron exchanges energy with the mode and scatters forward however then the vibration can both
$loose -and $gain energy
All these three events happen randomly- sometimes the vibration gets a little energy and sometimes it is taken away.
The average energy contained in the mode we can interpret as an effective temperature.
How hot the mode gets is determined by the relative probability of the forward and backwards scattering which is something that varies from mode to mode.
The experts will realize I’ve assumed that the system is conducting, which we have verified that this is.
(11+10+6)
Let us examine what happens when a current is flowing from left to right in this system.
$ If and electron comes in from the left there are several thing that can happen.
$ First of all, there is a chance that the electron reaches the right without exchanging energy with the mode
$ Secondly, the electron can exchange energy with the mode and scatter back
$ This is a diagram of the potential energy of electrons, the boxes represent occupied electronic state.
And in this picture the bias that allows the current to flow is simply the difference in height between the occupied levels.
$The electron comes in from one of the occupied levels in the left and exchanges energy with the vibration.
$ If the electron scatteres back then the vibration cannot gain energy because the electron cannot go down in energy since these states are already occupied.
$ The vibration can however loose energy because the electron can go up in energy.
So backward scattering can only cause the vibration to loose energy.
$ If the electron exchanges energy with the mode and scatters forward however then the vibration can both
$loose -and $gain energy
All these three events happen randomly- sometimes the vibration gets a little energy and sometimes it is taken away.
The average energy contained in the mode we can interpret as an effective temperature.
How hot the mode gets is determined by the relative probability of the forward and backwards scattering which is something that varies from mode to mode.
The experts will realize I’ve assumed that the system is conducting, which we have verified that this is.
(11+10+6)
Here we see the calculated effective temperature vs. bias for each of the 5 modes in the two systems we’ve investigated.
$ This vertical line shows the temperature where armchair graphene edges becomes unstable.
The effective temperature of the selected modes reach this temperature at a bias much smaller than the $1.6 V used in the experiment.
I don’t want to oversell this point because, first of all, the heating of one mode, is not the same as the heating all modes.
Secondly, we have omitted an effect that would tend to redistribute the energy among the modes, the effect of anharmonicity.
What I do want to note is that these modes do stick out considerably when comparing with the other modes in the system that are damped by vibrations.
$ The heating of those modes fall below this line. So it is difficult to see how general heating could account for evaporation seen in experiment.
Here we see the calculated effective temperature vs. bias for each of the 5 modes in the two systems we’ve investigated.
$ This vertical line shows the temperature where armchair graphene edges becomes unstable.
The effective temperature of the selected modes reach this temperature at a bias much smaller than the $1.6 V used in the experiment.
I don’t want to oversell this point because, first of all, the heating of one mode, is not the same as the heating all modes.
Secondly, we have omitted an effect that would tend to redistribute the energy among the modes, the effect of anharmonicity.
What I do want to note is that these modes do stick out considerably when comparing with the other modes in the system that are damped by vibrations.
$ The heating of those modes fall below this line. So it is difficult to see how general heating could account for evaporation seen in experiment.
Here we see the calculated effective temperature vs. bias for each of the 5 modes in the two systems we’ve investigated.
$ This vertical line shows the temperature where armchair graphene edges becomes unstable.
The effective temperature of the selected modes reach this temperature at a bias much smaller than the $1.6 V used in the experiment.
I don’t want to oversell this point because, first of all, the heating of one mode, is not the same as the heating all modes.
Secondly, we have omitted an effect that would tend to redistribute the energy among the modes, the effect of anharmonicity.
What I do want to note is that these modes do stick out considerably when comparing with the other modes in the system that are damped by vibrations.
$ The heating of those modes fall below this line. So it is difficult to see how general heating could account for evaporation seen in experiment.
Here we see the calculated effective temperature vs. bias for each of the 5 modes in the two systems we’ve investigated.
$ This vertical line shows the temperature where armchair graphene edges becomes unstable.
The effective temperature of the selected modes reach this temperature at a bias much smaller than the $1.6 V used in the experiment.
I don’t want to oversell this point because, first of all, the heating of one mode, is not the same as the heating all modes.
Secondly, we have omitted an effect that would tend to redistribute the energy among the modes, the effect of anharmonicity.
What I do want to note is that these modes do stick out considerably when comparing with the other modes in the system that are damped by vibrations.
$ The heating of those modes fall below this line. So it is difficult to see how general heating could account for evaporation seen in experiment.
What we have done is by no means a realistic simulation of the experiment that motivated us.
$The real system is far to big and complicated for that.
But on the small test systems $ we have found a type of mode that should exist on in any size system with armchair edges.
We’ve demonstrated that these modes accumulate energy as a current flows.
$ and estimated that this accumulated energy would allow C-C dimers to evaporate.
$
(10+11+12)
What we have done is by no means a realistic simulation of the experiment that motivated us.
$The real system is far to big and complicated for that.
But on the small test systems $ we have found a type of mode that should exist on in any size system with armchair edges.
We’ve demonstrated that these modes accumulate energy as a current flows.
$ and estimated that this accumulated energy would allow C-C dimers to evaporate.
$
(10+11+12)
What we have done is by no means a realistic simulation of the experiment that motivated us.
$The real system is far to big and complicated for that.
But on the small test systems $ we have found a type of mode that should exist on in any size system with armchair edges.
We’ve demonstrated that these modes accumulate energy as a current flows.
$ and estimated that this accumulated energy would allow C-C dimers to evaporate.
$
(10+11+12)
What we have done is by no means a realistic simulation of the experiment that motivated us.
$The real system is far to big and complicated for that.
But on the small test systems $ we have found a type of mode that should exist on in any size system with armchair edges.
We’ve demonstrated that these modes accumulate energy as a current flows.
$ and estimated that this accumulated energy would allow C-C dimers to evaporate.
$
(10+11+12)
What we have done is by no means a realistic simulation of the experiment that motivated us.
$The real system is far to big and complicated for that.
But on the small test systems $ we have found a type of mode that should exist on in any size system with armchair edges.
We’ve demonstrated that these modes accumulate energy as a current flows.
$ and estimated that this accumulated energy would allow C-C dimers to evaporate.
$
(10+11+12)
What we have done is by no means a realistic simulation of the experiment that motivated us.
$The real system is far to big and complicated for that.
But on the small test systems $ we have found a type of mode that should exist on in any size system with armchair edges.
We’ve demonstrated that these modes accumulate energy as a current flows.
$ and estimated that this accumulated energy would allow C-C dimers to evaporate.
$
(10+11+12)
What we have done is by no means a realistic simulation of the experiment that motivated us.
$The real system is far to big and complicated for that.
But on the small test systems $ we have found a type of mode that should exist on in any size system with armchair edges.
We’ve demonstrated that these modes accumulate energy as a current flows.
$ and estimated that this accumulated energy would allow C-C dimers to evaporate.
$
(10+11+12)
What we have done is by no means a realistic simulation of the experiment that motivated us.
$The real system is far to big and complicated for that.
But on the small test systems $ we have found a type of mode that should exist on in any size system with armchair edges.
We’ve demonstrated that these modes accumulate energy as a current flows.
$ and estimated that this accumulated energy would allow C-C dimers to evaporate.
$
(10+11+12)
What we have done is by no means a realistic simulation of the experiment that motivated us.
$The real system is far to big and complicated for that.
But on the small test systems $ we have found a type of mode that should exist on in any size system with armchair edges.
We’ve demonstrated that these modes accumulate energy as a current flows.
$ and estimated that this accumulated energy would allow C-C dimers to evaporate.
$
(10+11+12)
What we have done is by no means a realistic simulation of the experiment that motivated us.
$The real system is far to big and complicated for that.
But on the small test systems $ we have found a type of mode that should exist on in any size system with armchair edges.
We’ve demonstrated that these modes accumulate energy as a current flows.
$ and estimated that this accumulated energy would allow C-C dimers to evaporate.
$
(10+11+12)
What we have done is by no means a realistic simulation of the experiment that motivated us.
$The real system is far to big and complicated for that.
But on the small test systems $ we have found a type of mode that should exist on in any size system with armchair edges.
We’ve demonstrated that these modes accumulate energy as a current flows.
$ and estimated that this accumulated energy would allow C-C dimers to evaporate.
$
(10+11+12)
What we have done is by no means a realistic simulation of the experiment that motivated us.
$The real system is far to big and complicated for that.
But on the small test systems $ we have found a type of mode that should exist on in any size system with armchair edges.
We’ve demonstrated that these modes accumulate energy as a current flows.
$ and estimated that this accumulated energy would allow C-C dimers to evaporate.
$
(10+11+12)
I will now end this talk with some concluding remarks.
$ The vibrational energies are low compared to the energy in the electron system or the energy stored in the stress and strain.
This means that vibrational properties are very sensitive to even small changes in the configuration of systems.
$ The sensitivity of the vibrational system to me highlights the importance of ab-initio for these systems.
Measurements will have difficulty in controlling all the relevant parameters and reliable simulations would be nescesary we understand what is happening.
$ The study of vibrations is part of the study of the movement of atoms.
If we gain a better understanding of how to manipulate atoms, for example by current as we went through or by laser or saser
$ it would perhaps be a way to gain precise control over the structure of matter.
(34)
I will now end this talk with some concluding remarks.
$ The vibrational energies are low compared to the energy in the electron system or the energy stored in the stress and strain.
This means that vibrational properties are very sensitive to even small changes in the configuration of systems.
$ The sensitivity of the vibrational system to me highlights the importance of ab-initio for these systems.
Measurements will have difficulty in controlling all the relevant parameters and reliable simulations would be nescesary we understand what is happening.
$ The study of vibrations is part of the study of the movement of atoms.
If we gain a better understanding of how to manipulate atoms, for example by current as we went through or by laser or saser
$ it would perhaps be a way to gain precise control over the structure of matter.
(34)
I will now end this talk with some concluding remarks.
$ The vibrational energies are low compared to the energy in the electron system or the energy stored in the stress and strain.
This means that vibrational properties are very sensitive to even small changes in the configuration of systems.
$ The sensitivity of the vibrational system to me highlights the importance of ab-initio for these systems.
Measurements will have difficulty in controlling all the relevant parameters and reliable simulations would be nescesary we understand what is happening.
$ The study of vibrations is part of the study of the movement of atoms.
If we gain a better understanding of how to manipulate atoms, for example by current as we went through or by laser or saser
$ it would perhaps be a way to gain precise control over the structure of matter.
(34)
I will now end this talk with some concluding remarks.
$ The vibrational energies are low compared to the energy in the electron system or the energy stored in the stress and strain.
This means that vibrational properties are very sensitive to even small changes in the configuration of systems.
$ The sensitivity of the vibrational system to me highlights the importance of ab-initio for these systems.
Measurements will have difficulty in controlling all the relevant parameters and reliable simulations would be nescesary we understand what is happening.
$ The study of vibrations is part of the study of the movement of atoms.
If we gain a better understanding of how to manipulate atoms, for example by current as we went through or by laser or saser
$ it would perhaps be a way to gain precise control over the structure of matter.
(34)
I will now end this talk with some concluding remarks.
$ The vibrational energies are low compared to the energy in the electron system or the energy stored in the stress and strain.
This means that vibrational properties are very sensitive to even small changes in the configuration of systems.
$ The sensitivity of the vibrational system to me highlights the importance of ab-initio for these systems.
Measurements will have difficulty in controlling all the relevant parameters and reliable simulations would be nescesary we understand what is happening.
$ The study of vibrations is part of the study of the movement of atoms.
If we gain a better understanding of how to manipulate atoms, for example by current as we went through or by laser or saser
$ it would perhaps be a way to gain precise control over the structure of matter.
(34)
I will now end this talk with some concluding remarks.
$ The vibrational energies are low compared to the energy in the electron system or the energy stored in the stress and strain.
This means that vibrational properties are very sensitive to even small changes in the configuration of systems.
$ The sensitivity of the vibrational system to me highlights the importance of ab-initio for these systems.
Measurements will have difficulty in controlling all the relevant parameters and reliable simulations would be nescesary we understand what is happening.
$ The study of vibrations is part of the study of the movement of atoms.
If we gain a better understanding of how to manipulate atoms, for example by current as we went through or by laser or saser
$ it would perhaps be a way to gain precise control over the structure of matter.
(34)
I will now end this talk with some concluding remarks.
$ The vibrational energies are low compared to the energy in the electron system or the energy stored in the stress and strain.
This means that vibrational properties are very sensitive to even small changes in the configuration of systems.
$ The sensitivity of the vibrational system to me highlights the importance of ab-initio for these systems.
Measurements will have difficulty in controlling all the relevant parameters and reliable simulations would be nescesary we understand what is happening.
$ The study of vibrations is part of the study of the movement of atoms.
If we gain a better understanding of how to manipulate atoms, for example by current as we went through or by laser or saser
$ it would perhaps be a way to gain precise control over the structure of matter.
(34)