Classical equations of state are continuous functions of the density. At subcritical conditions, they exhibit a van der Waals loop, signaling phase coexistence as determined from the Maxwell construction. Here it is described how such loops may be observed in computer simulation studies, and how they depend on the system size. For small systems with dimensions close to the fluid's correlation length, a continuous van der Waals loop is observed which clearly resembles the expected mean field equation of state. As the system size increases, the loop gradually developes a series of discontinuities, corresponding to the formation of condensed domains. In our systems in three dimensions and periodic boundary conditions, systems develope sequentally a slab domain, then a cylindrical domain and finally a spherical condensed domain as system size increases. When the domain forms in the vapor phase, it is a droplet. When it grows within a liquid mother phase, it is a cavity or bubble. It is shown that the sequence of transitions that develop depend on a scaled system size, which is a function of the system's temperature. Close to the critical temperature, the scaled system size remains small even for very large systems, and the formation of condensed domains is supressed. For finite temperatures, the slope of the discontinuities becomes infinite at the thermodynamic limit, and the smooth van der Waals loop gradually becomes the expected flat tie line of zero slope.
This slideshow has been presented in:
1. Contributted talk, Liblice Conference, June 2006.
2. Invited Seminar, Johannes Gutenberg Universitat, Mainz, February 2007.
Fun with D3.js: Data Visualization Eye Candy with Streaming JSONTomomi Imura
D3.js is a JavaScript library that lets you bring data to create interactive graphs and charts that run on a browser. It is a very powerful tool for creating eye-catching data visualization.
This slide deck is a quick showcase of what can be done with D3 and PubNub data stream. Let's get visual with a bubble chart!
Full tutorial:
http://www.pubnub.com/blog/fun-with-d3js-data-visualization-eye-candy-with-streaming-json/
International Journal of Engineering Research and DevelopmentIJERD Editor
Electrical, Electronics and Computer Engineering,
Information Engineering and Technology,
Mechanical, Industrial and Manufacturing Engineering,
Automation and Mechatronics Engineering,
Material and Chemical Engineering,
Civil and Architecture Engineering,
Biotechnology and Bio Engineering,
Environmental Engineering,
Petroleum and Mining Engineering,
Marine and Agriculture engineering,
Aerospace Engineering.
On the origin of surfaces-dependent growth of benzoic acid crystal inferred t...Maciej Przybyłek
Crystal growth behavior of benzoic acid crystals on different surfaces was examined. The performed experiments documented the existence of very strong influence introduced by polar surfaces as glass, gelatin, and polyvinyl alcohol (PVA) on the growth of benzoic acid crystals. These surfaces impose strong orientation effect resulting in a dramatic reduction of number of faces seen with x-ray powder diffractions (XPRD). However, scrapping the crystal off the surface leads to a morphology that is similar to the one observed for bulk crystallization. The surfaces of low wettability (paraffin) seem to be useful for preparation of amorphous powders, even for well-crystallizable compounds. The performed quantum chemistry computations characterized energetic contributions to stabilization of morphology related faces. It has been demonstrated, that the dominant face (002) of benzoic acid crystal, growing on polar surfaces, is characterized by the highest densities of intermolecular interaction energies determining the highest cohesive properties among all studied faces. Additionally, the inter-layer interactions, which stand for adhesive properties, are also the strongest in the case of this face. Thus, quantum chemistry computations providing detailed description of energetic contributions can be successfully used for clarification of adhesive and cohesive nature of benzoic acids crystal faces.
Fun with D3.js: Data Visualization Eye Candy with Streaming JSONTomomi Imura
D3.js is a JavaScript library that lets you bring data to create interactive graphs and charts that run on a browser. It is a very powerful tool for creating eye-catching data visualization.
This slide deck is a quick showcase of what can be done with D3 and PubNub data stream. Let's get visual with a bubble chart!
Full tutorial:
http://www.pubnub.com/blog/fun-with-d3js-data-visualization-eye-candy-with-streaming-json/
International Journal of Engineering Research and DevelopmentIJERD Editor
Electrical, Electronics and Computer Engineering,
Information Engineering and Technology,
Mechanical, Industrial and Manufacturing Engineering,
Automation and Mechatronics Engineering,
Material and Chemical Engineering,
Civil and Architecture Engineering,
Biotechnology and Bio Engineering,
Environmental Engineering,
Petroleum and Mining Engineering,
Marine and Agriculture engineering,
Aerospace Engineering.
On the origin of surfaces-dependent growth of benzoic acid crystal inferred t...Maciej Przybyłek
Crystal growth behavior of benzoic acid crystals on different surfaces was examined. The performed experiments documented the existence of very strong influence introduced by polar surfaces as glass, gelatin, and polyvinyl alcohol (PVA) on the growth of benzoic acid crystals. These surfaces impose strong orientation effect resulting in a dramatic reduction of number of faces seen with x-ray powder diffractions (XPRD). However, scrapping the crystal off the surface leads to a morphology that is similar to the one observed for bulk crystallization. The surfaces of low wettability (paraffin) seem to be useful for preparation of amorphous powders, even for well-crystallizable compounds. The performed quantum chemistry computations characterized energetic contributions to stabilization of morphology related faces. It has been demonstrated, that the dominant face (002) of benzoic acid crystal, growing on polar surfaces, is characterized by the highest densities of intermolecular interaction energies determining the highest cohesive properties among all studied faces. Additionally, the inter-layer interactions, which stand for adhesive properties, are also the strongest in the case of this face. Thus, quantum chemistry computations providing detailed description of energetic contributions can be successfully used for clarification of adhesive and cohesive nature of benzoic acids crystal faces.
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
Understanding and avoiding the formation of voids for rear passivated silicon...Elías Urrejola
We present a study on the formation of voids normally originated instead of an Al-Si eutectic alloy on rear passivated solar cells with local rear contacts, using standard screen-printed aluminum pastes. In previous works, we explain the formation of these voids due to the difference between the diffusivity of aluminum and silicon1, showing that the geometry of the rear pattern (contact spacing and contact size) strongly influences their formation2. In the present work, we found that the gravity field orientation can strongly vary the microstructure of Al-Si forming alloy. We show that the voids may partially be avoided by sintering the samples with the solid/liquid (S/L) interface, n, oriented opposite to the direction of the gravity field, g. A deeper p+-doped silicon region (known as local BSF) has been found underneath the voids using this approach. This phenomenon strongly applies to rear passivated solar cells, which have exhibited strong FF losses.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
Understanding and avoiding the formation of voids for rear passivated silicon...Elías Urrejola
We present a study on the formation of voids normally originated instead of an Al-Si eutectic alloy on rear passivated solar cells with local rear contacts, using standard screen-printed aluminum pastes. In previous works, we explain the formation of these voids due to the difference between the diffusivity of aluminum and silicon1, showing that the geometry of the rear pattern (contact spacing and contact size) strongly influences their formation2. In the present work, we found that the gravity field orientation can strongly vary the microstructure of Al-Si forming alloy. We show that the voids may partially be avoided by sintering the samples with the solid/liquid (S/L) interface, n, oriented opposite to the direction of the gravity field, g. A deeper p+-doped silicon region (known as local BSF) has been found underneath the voids using this approach. This phenomenon strongly applies to rear passivated solar cells, which have exhibited strong FF losses.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
Normal Labour/ Stages of Labour/ Mechanism of LabourWasim Ak
Normal labor is also termed spontaneous labor, defined as the natural physiological process through which the fetus, placenta, and membranes are expelled from the uterus through the birth canal at term (37 to 42 weeks
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
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.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
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.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...
Nucleation and Cavitation of Spherical, Cylindrical and Slab Like Droplets and Bubbles
1. Nucleation and cavitation of
spherical, cylindrical and slab like
droplets and bubbles
Slideshow for an invited seminar at the Condensed Matter Theory Group,
Johannes Gutenberg Universit¨at Mainz, February 2007.
by
Luis Gonz´alez MacDowell
References:
√
MacDowell, Virnau, Muller, Binder, J. Chem. Phys. 120, 5293 (2004).
√
MacDowell, Shen, Errington, J. Chem. Phys. 125, 034705 (2006).
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.1/23
2. Nucleation and cavitation of
spherical, cylindrical and slab like
droplets and bubbles
Luis González MacDowell1
, Vincent Shen2
, Jeff Errington3
Peter Virnau4
, Marcus Müller4
, Kurt Binder4
1. Universidad Complutense de Madrid.
2. National Institute for Standards and Technology.
3. University of New York at Buffalo.
4. Johannes Gutenberg Universität, Mainz.
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.2/23
3. Subcritical isotherm
−0.1 0.1 0.3 0.5 0.7 0.9
ρ
−1.5
−0.5
0.5
1.5
µ
Equilibrium curve
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.3/23
4. Subcritical isotherm
−0.1 0.1 0.3 0.5 0.7 0.9
ρ
−1.5
−0.5
0.5
1.5
µ
‘Metastable’ branch
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.3/23
5. Subcritical isotherm
−0.1 0.1 0.3 0.5 0.7 0.9
ρ
−1.5
−0.5
0.5
1.5
µ
‘Unstable’ branch
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.3/23
6. Grand Canonical Simulations (µVT)
WµV T (N) = −kBT ln P(N)
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.4/23
7. Grand Canonical Simulations (µVT)
WµV T (N) = −kBT ln P(N)
N
WµVT
WµVT
180 N
g l
g
l
g
l
∆ΩVT
∆ΩVT
−(pl−pg)V
b)
c) d)
a)
−(pl−pg)V
Nspin
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.4/23
8. Grand Canonical Simulations (µVT)
WµV T (N) = −kBT ln P(N)
N
WµVT
WµVT
180 N
g l
g
l
g
l
∆ΩVT
∆ΩVT
−(pl−pg)V
b)
c) d)
a)
−(pl−pg)V
Nspin
Wµ′V T (N) ∝ WµV T (N) − (µ′
− µ)N
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.4/23
9. Chemical potential v density loops
0 0.2 0.4 0.6
ρ
−0.5
0
0.5
µ
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.5/23
10. Chemical potential v density loops
0 0.2 0.4 0.6
ρ
−0.5
0
0.5
µ
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.5/23
11. Chemical potential v density loops
0 0.2 0.4 0.6
ρ
−0.5
0
0.5
µ
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.5/23
12. Chemical potential v density loops
0 0.2 0.4 0.6
ρ
−0.5
0
0.5
µ
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.5/23
13. Chemical potential v density loops
0 0.2 0.4 0.6
ρ
−0.5
0
0.5
µ
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.5/23
14. Chemical potential v density loops
0 0.2 0.4 0.6
ρ
−0.5
0
0.5
µ
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.5/23
15. Chemical potential v density loops
0 0.2 0.4 0.6
ρ
−0.5
0
0.5
µ
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.5/23
16. Chemical potential v density loops
0 0.2 0.4 0.6
ρ
−0.5
0
0.5
µ
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.5/23
17. Chemical potential v density loops
0 0.2 0.4 0.6
ρ
−0.5
0
0.5
µ
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.5/23
18. Chemical potential v density loops
0 0.2 0.4 0.6
ρ
−0.5
0
0.5
µ
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.5/23
19. Capillary drop model in a closed
system
A(Vl) = av[V − Vl] + alVl + γS
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.6/23
20. Capillary drop model in a closed
system
A(Vl) = av[V − Vl] + alVl + γS
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.6/23
21. Capillary drop model in a closed
system
A(Vl) = av[V − Vl] + alVl + γS
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.6/23
22. Capillary drop model in a closed
system
A(Vl) = av[V − Vl] + alVl + γS
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.6/23
23. Capillary drop model in a closed
system
A(Vl) = av[V − Vl] + alVl + γS
∆A
∆A
R R
ρ<ρ
*
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.6/23
24. Capillary drop model in a closed
system
A(Vl) = av[V − Vl] + alVl + γS
∆A
∆A
R R
ρ<ρ
*
ρ=ρ
*
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.6/23
25. Capillary drop model in a closed
system
A(Vl) = av[V − Vl] + alVl + γS
∆A
∆A
R R
ρ<ρ
*
ρ=ρ
*
ρ>ρ
*
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.6/23
26. Capillary drop model in a closed
system
A(Vl) = av[V − Vl] + alVl + γS
∆A
∆A
R R
ρ<ρ
*
ρ=ρ
*
ρ>ρ
*
ρ>>ρ
*
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.6/23
27. Resulting equation of state
0 2 4 6 8 10
ρ
0
0.2
0.4
0.6
0.8
1
µ
√
Homogeneous branch for ρ < ρt
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.7/23
28. Resulting equation of state
0 2 4 6 8 10
ρ
0
0.2
0.4
0.6
0.8
1
µ
√
Homogeneous branch for ρ < ρt
√
Inhomogeneous branch for ρ > ρt
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.7/23
29. Taking into account the fluctuations
Two states model:
√
system is in homogeneous state with weight 1
√
system is in inhomogeneous state with weight exp(−β∆A)
µ(ρ) =
µ(ρ) + µ(ρg)e−β∆A
1 + e−β∆A
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.8/23
30. Taking into account the fluctuations
Two states model:
√
system is in homogeneous state with weight 1
√
system is in inhomogeneous state with weight exp(−β∆A)
µ(ρ) =
µ(ρ) + µ(ρg)e−β∆A
1 + e−β∆A
Quantitative description:
√
MSA equation of state for the LJ fluid
√
Simulation result for the surface tension
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.8/23
31. Predicting the equation of state
0 0,02 0,04 0,06 0,08 0,1 0,12
ρ-ρc
0
0,2
0,4
0,6
0,8
1
1,2
1,4
µ
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.9/23
32. Predicting the equation of state
0 0,02 0,04 0,06 0,08 0,1 0,12
ρ-ρc
0
0,2
0,4
0,6
0,8
1
1,2
1,4
µ
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.9/23
33. Predicting the equation of state
0 0,02 0,04 0,06 0,08 0,1 0,12
ρ-ρc
0
0,2
0,4
0,6
0,8
1
1,2
1,4
µ
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.9/23
34. Some simulated subcritical
isotherms
0.05 0.25 0.45 0.65
ρ
−0.2
−0.1
0
0.1
0.2
β∆µ
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.10/23
35. Some simulated subcritical
isotherms
0.05 0.25 0.45 0.65
ρ
−0.2
−0.1
0
0.1
0.2
β∆µ
0.05 0.25 0.45 0.65
ρ
−0.2
−0.1
0
0.1
0.2
β∆µ
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.10/23
38. Low temperature isotherm
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8
ρ
−1
−0.6
−0.2
0.2
0.6
1
µ
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.11/23
39. Low temperature isotherm
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8
ρ
−1
−0.6
−0.2
0.2
0.6
1
µ
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.11/23
40. Low temperature isotherm
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8
ρ
−1
−0.6
−0.2
0.2
0.6
1
µ
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.11/23
41. Low temperature isotherm
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8
ρ
−1
−0.6
−0.2
0.2
0.6
1
µ
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.11/23
42. Low temperature isotherm
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8
ρ
−1
−0.6
−0.2
0.2
0.6
1
µ
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.11/23
43. Low temperature isotherm
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8
ρ
−1
−0.6
−0.2
0.2
0.6
1
µ
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.11/23
44. The Laplace Equation
∂Ainh
∂Vl
= ∆p − γ ∂S
∂Vl
ρV = ρv[V − Vl] + ρlVl + ΓS
Generalization: S = kgV
(q−2)/(q−1)
l
q Domain kg
4 spherical (36π)1/3
3 cylindrical 2(πL)1/2
2 slab 2L2
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.12/23
45. Simplified liquid model
√
Density increments are linear in the chemical
potential
√
The fluid is symmetric, χv = χl
√
The surface tension is constant
√
Adsorption at the surface of tension is negligible
Solution:
χl∆µq
− ∆ρ∆µq−1
+
nkgγ
∆ρn
c V 1/(q−1)
q−1
= 0
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.13/23
46. Scaling form of the solutions
x = χl
∆ρ∆µ Kq =
nkgγχl
∆ρn
c ∆ρq/(q−1)V 1/(q−1)
q−1
xq
− xq−1
+ Kq = 0
∆a = 1
2
χl
∆ρ2
∆A
V ω = 1
2(1 − x) n = q−2
q−1
∆a(ω) = ω2
− ω + 2n−1
n K1−n
q ωn
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.14/23
47. Solutions for different domain
shapes
transition transition density
hom → sph ρt
= ρc
v + 2 · 33/4
∆ρc
ξsph
V
1/4
hom → cyl ρt
= ρc
v + 3 · 21/3
∆ρc
ξcyl
V
2/9
hom → slb ρt
= ρc
v + ∆ρc
ξslb
V
1/6
ξ ∝ γ3χ3
v
∆ρ6
c
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.15/23
48. System size features of the isotherm
volume range stable domains observed
V
ξsph
> 43
π4 (4
3
)41
hom → sph → cyl → slab
43
π4 (4
3
)41
< V
ξsph
< π5
27 (3
2
)22
hom → cyl → slab
π5
27 (3
2
)22
< V
ξsph
< 3427
π
hom → slab
V
ξsph
< 3427
π
hom
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.16/23
49. Large system, low temperature
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8
ρ
−1
−0.6
−0.2
0.2
0.6
1
µ
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.17/23
50. Large system, low temperature
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8
ρ
−1
−0.6
−0.2
0.2
0.6
1
µ
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.17/23
51. Large system, low temperature
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8
ρ
−1
−0.6
−0.2
0.2
0.6
1
µ
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.17/23
52. Large system, low temperature
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8
ρ
−1
−0.6
−0.2
0.2
0.6
1
µ
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.17/23
53. Large system, low temperature
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8
ρ
−1
−0.6
−0.2
0.2
0.6
1
µ
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.17/23
54. Large system, low temperature
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8
ρ
−1
−0.6
−0.2
0.2
0.6
1
µ
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.17/23
55. Large system, low temperature
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8
ρ
−1
−0.6
−0.2
0.2
0.6
1
µ
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.17/23
56. Large system, low temperature
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8
ρ
−1
−0.6
−0.2
0.2
0.6
1
µ
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.17/23
57. Large system, low temperature
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8
ρ
−1
−0.6
−0.2
0.2
0.6
1
µ
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.17/23
58. Large system, low temperature
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8
ρ
−1
−0.6
−0.2
0.2
0.6
1
µ
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.17/23
59. Increasing system size (low T)
0 0.2 0.4 0.6 0.8
ρ
−1.6
−1
−0.4
0.2
0.8
1.4
2
β∆µ
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.18/23
60. Increasing system size (low T)
0 0.2 0.4 0.6 0.8
ρ
−1.6
−1
−0.4
0.2
0.8
1.4
2
β∆µ
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.18/23
61. Increasing system size (low T)
0 0.2 0.4 0.6 0.8
ρ
−1.6
−1
−0.4
0.2
0.8
1.4
2
β∆µ
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.18/23
62. Increasing system size (low T)
0 0.2 0.4 0.6 0.8
ρ
−1.6
−1
−0.4
0.2
0.8
1.4
2
β∆µ
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.18/23
66. Increasing system size (high T)
0.05 0.25 0.45 0.65
ρ
−0.2
−0.1
0
0.1
0.2
β∆µ
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.19/23
67. Increasing system size (high T)
0.05 0.25 0.45 0.65
ρ
−0.2
−0.1
0
0.1
0.2
β∆µ
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.19/23
68. Increasing system size (high T)
0.05 0.25 0.45 0.65
ρ
−0.2
−0.1
0
0.1
0.2
β∆µ
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.19/23
69. Increasing system size (high T)
0.05 0.25 0.45 0.65
ρ
−0.2
−0.1
0
0.1
0.2
β∆µ
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.19/23
70. A look at the volume scale
Properties are governed by scaled volume V/ξ, with
ξ ∝ χ2
γ3
∆ρ−6
c
For the temperature approaching Tc:
ξ ∝ |T − Tc|−3ν
ξ1/3
is a meassure of the correlation length
The scaled volume decreases as T approaches Tc
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.20/23
71. Increasing Temperature =
Decreasing volume
−0.5 −0.25 0 0.25 0.5
(ρ−ρ1/2)/∆ρc
−1
−0.5
0
0.5
1
∆µ/∆µs
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.21/23
72. Increasing Temperature =
Decreasing volume
−0.5 −0.25 0 0.25 0.5
(ρ−ρ1/2)/∆ρc
−1
−0.5
0
0.5
1
∆µ/∆µs
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.21/23
73. Increasing Temperature =
Decreasing volume
−0.5 −0.25 0 0.25 0.5
(ρ−ρ1/2)/∆ρc
−1
−0.5
0
0.5
1
∆µ/∆µs
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.21/23
74. Increasing Temperature =
Decreasing volume
−0.5 −0.25 0 0.25 0.5
(ρ−ρ1/2)/∆ρc
−1
−0.5
0
0.5
1
∆µ/∆µs
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.21/23
75. Approaching infinite system size ...
0 0.2 0.4 0.6 0.8
ρ
−2
0
2
∆µ
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.22/23
76. Approaching infinite system size ...
0 0.2 0.4 0.6 0.8
ρ
−2
0
2
∆µ
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.22/23
77. Approaching infinite system size ...
0 0.2 0.4 0.6 0.8
ρ
−2
0
2
∆µ
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.22/23
78. Approaching infinite system size ...
0 0.2 0.4 0.6 0.8
ρ
−2
0
2
∆µ
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.22/23
79. Approaching infinite system size ...
0 0.2 0.4 0.6 0.8
ρ
−2
0
2
∆µ
∆A∗
=
∆ρ2
c
χl
ξsph
V
ξsph
1/2
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.22/23
80. Conclusions
√
Droplet states obey a universal scaling law
√
Different sequences of domain transitions occur
depending on V/ξ
√
Small ‘scaled’ systems follow a continuous loop
isotherm
√
Stable states are possible inside coexistence loop
(for small systems)
√
Apparent spinodal points are small system dew
and bubble points
√
Young-Laplace equation (capillary model)
provides accurate description
Nucleation and cavitation ofspherical, cylindrical and slab likedroplets and bubbles – p.23/23