This document summarizes research on the superconducting behavior of carbon nanotubes (CNTs). It first discusses how the transition temperature (Tc) determines a material's superconductivity and how electron-phonon interactions can induce superconductivity in CNTs due to their curvature. The document then presents a theoretical model for CNT resistivity incorporating relaxation time, Fermi velocity, and coulomb interaction. Experimental results showing superconductivity in CNT ropes/bundles at temperatures up to 15K are discussed. The conclusion is that managing electron-electron interaction to increase Fermi velocity can decrease resistivity and lead to superconductivity at low temperatures.
Lecture 5: Introduction to Quantum Chemical Simulation graduate course taught at MIT in Fall 2014 by Heather Kulik. This course covers: wavefunction theory, density functional theory, force fields and molecular dynamics and sampling.
Lecture 1: Introduction to Quantum Chemical Simulation graduate course taught at MIT in Fall 2014 by Heather Kulik. This course covers: wavefunction theory, density functional theory, force fields and molecular dynamics and sampling.
Lecture 2: Introduction to Quantum Chemical Simulation graduate course taught at MIT in Fall 2014 by Heather Kulik. This course covers: wavefunction theory, density functional theory, force fields and molecular dynamics and sampling.
This is the plenary talk given by Prof Shyue Ping Ong at the 57th Sanibel Symposium held on St Simon's Island in Georgia, USA.
Abstract: Powered by methodological breakthroughs and computing advances, electronic structure methods have today become an indispensable toolkit in the materials designer’s arsenal. In this talk, I will discuss two emerging trends that holds the promise to continue to push the envelope in computational design of materials. The first trend is the development of robust software and data frameworks for the automatic generation, storage and analysis of materials data sets. The second is the advent of reliable central materials data repositories, such as the Materials Project, which provides the research community with efficient access to large quantities of property information that can be mined for trends or new materials. I will show how we have leveraged on these new tools to accelerate discovery and design in energy and structural materials as well as our efforts in contributing back to the community through further tool or data development. I will also provide my perspective on future challenges in high-throughput computational materials design.
Lecture 6: Introduction to Quantum Chemical Simulation graduate course taught at MIT in Fall 2014 by Heather Kulik. This course covers: wavefunction theory, density functional theory, force fields and molecular dynamics and sampling.
Coexistence of Superconductivity and Itinerant Ferromagnetism in Ucogeijrap
The coexistence of BCS superconductivity and itinerant ferromagnetism in uranium based intermetallic systems is analyzed using a Hubbard Hamiltonian. To obtain the superconducting transition
temperatureTC and Curie temperatureTFM , we used the Green’s function method. The order parameter of superconductivity ( ∆ ) and ferromagnetism ( m or I) are obtained in the mean field approximation. It is found that there generally exist coexistent solutions to coupled equations of the order parameter in the temperature range ( ) T TC TFM 0 < < min , . In our model, ferromagnetism is itinerant and therefore carried by the conduction electrons. This arises from a splitting of the spin-up and spin- down band. A consequence is that the ferromagnetism and superconductivity is carried by same electrons. Expressions for specific heat, energy spectra and density of states are derived. The specific heat has linear temperature dependence as opposed to that of the exponential decrease in the BCS theory. The density of states for a finite magnetic order parameter increases as opposed to that of a ferromagnetic metal. The theory is
applied to explain the observations in uranium based intermetallic compoundUCoGe . The agreement between theory and experiments is quite encouraging.
Lecture 5: Introduction to Quantum Chemical Simulation graduate course taught at MIT in Fall 2014 by Heather Kulik. This course covers: wavefunction theory, density functional theory, force fields and molecular dynamics and sampling.
Lecture 1: Introduction to Quantum Chemical Simulation graduate course taught at MIT in Fall 2014 by Heather Kulik. This course covers: wavefunction theory, density functional theory, force fields and molecular dynamics and sampling.
Lecture 2: Introduction to Quantum Chemical Simulation graduate course taught at MIT in Fall 2014 by Heather Kulik. This course covers: wavefunction theory, density functional theory, force fields and molecular dynamics and sampling.
This is the plenary talk given by Prof Shyue Ping Ong at the 57th Sanibel Symposium held on St Simon's Island in Georgia, USA.
Abstract: Powered by methodological breakthroughs and computing advances, electronic structure methods have today become an indispensable toolkit in the materials designer’s arsenal. In this talk, I will discuss two emerging trends that holds the promise to continue to push the envelope in computational design of materials. The first trend is the development of robust software and data frameworks for the automatic generation, storage and analysis of materials data sets. The second is the advent of reliable central materials data repositories, such as the Materials Project, which provides the research community with efficient access to large quantities of property information that can be mined for trends or new materials. I will show how we have leveraged on these new tools to accelerate discovery and design in energy and structural materials as well as our efforts in contributing back to the community through further tool or data development. I will also provide my perspective on future challenges in high-throughput computational materials design.
Lecture 6: Introduction to Quantum Chemical Simulation graduate course taught at MIT in Fall 2014 by Heather Kulik. This course covers: wavefunction theory, density functional theory, force fields and molecular dynamics and sampling.
Coexistence of Superconductivity and Itinerant Ferromagnetism in Ucogeijrap
The coexistence of BCS superconductivity and itinerant ferromagnetism in uranium based intermetallic systems is analyzed using a Hubbard Hamiltonian. To obtain the superconducting transition
temperatureTC and Curie temperatureTFM , we used the Green’s function method. The order parameter of superconductivity ( ∆ ) and ferromagnetism ( m or I) are obtained in the mean field approximation. It is found that there generally exist coexistent solutions to coupled equations of the order parameter in the temperature range ( ) T TC TFM 0 < < min , . In our model, ferromagnetism is itinerant and therefore carried by the conduction electrons. This arises from a splitting of the spin-up and spin- down band. A consequence is that the ferromagnetism and superconductivity is carried by same electrons. Expressions for specific heat, energy spectra and density of states are derived. The specific heat has linear temperature dependence as opposed to that of the exponential decrease in the BCS theory. The density of states for a finite magnetic order parameter increases as opposed to that of a ferromagnetic metal. The theory is
applied to explain the observations in uranium based intermetallic compoundUCoGe . The agreement between theory and experiments is quite encouraging.
Heat Capacity of BN and GaN binary semiconductor under high Pressure-Temperat...IOSR Journals
In this paper, we have calculated the molar heat capacity for cubic zinc blende (cZB) BN and GaN binary semiconductors at high pressure-temperature (PT). For the calculation of heat capacity, we firstly obtained the Debye temperature (ϴD) variation with temperature and at higher temperature it becomes constant with temperature in quasi-harmonic approximation limits. We have also calculated the static Debye temperature (ϴD) from elastic constant for the both BN and GaN binary semiconductors. The elastic constants are calculated from the energy-strain relation using plane wave method in DFT approach. All the calculated results are well consistence with experimental and reported data
Quantum-Gravity Thermodynamics, Incorporating the Theory of Exactly Soluble Active Stochastic Processes, with Applications
by Daley, K.
Published in IJTP in 2009. http://adsabs.harvard.edu/abs/2009IJTP..tmp...67D
Lecture 4: Introduction to Quantum Chemical Simulation graduate course taught at MIT in Fall 2014 by Heather Kulik. This course covers: wavefunction theory, density functional theory, force fields and molecular dynamics and sampling.
This resource is a comprehensive inorganic chemistry workbook for first year undergraduates. It is designed as a revision resource with plenty of worked examples followed by problems to try themselves. Worked answers are given to all the problems to allow students to develop confidence in problem solving.
NANO281 is the University of California San Diego NanoEngineering Department's first course on the application of data science in materials science. It is taught by Professor Shyue Ping Ong of the Materials Virtual Lab (http://www.materialsvirtuallab.org).
Lecture 3: Introduction to Quantum Chemical Simulation graduate course taught at MIT in Fall 2014 by Heather Kulik. This course covers: wavefunction theory, density functional theory, force fields and molecular dynamics and sampling.
A model of electron pairing, with depletion of mediating phonons at fermi sur...Qiang LI
We present a model of electron pairing based on nonstationary interpretation of electron-lattice interaction. Electron-lattice system has an intrinsic time dependent characteristic as featured by Golden Rule, by which electrons on matched pairing states are tuned to lattice wave modes, with pairing competition happening among multiple pairings associated with one electron state. The threshold phonon of an electron pair having a good quality factor can become redundant and be released from the pair to produce a binding energy. Lattice modes falling in a common linewidth compete with one another, like modes competing in a lasing system. In cuprates, due to near-parallel band splitting at and near Fermi Surface (EF), a great number of electron pairs are tuned to a relatively small number of lattice wave modes, leading to strong mode competition, transfer of real pairing-mediating phonons from EF towards the “kink”, and depletion of these phonons at and near EF.
Heat Capacity of BN and GaN binary semiconductor under high Pressure-Temperat...IOSR Journals
In this paper, we have calculated the molar heat capacity for cubic zinc blende (cZB) BN and GaN binary semiconductors at high pressure-temperature (PT). For the calculation of heat capacity, we firstly obtained the Debye temperature (ϴD) variation with temperature and at higher temperature it becomes constant with temperature in quasi-harmonic approximation limits. We have also calculated the static Debye temperature (ϴD) from elastic constant for the both BN and GaN binary semiconductors. The elastic constants are calculated from the energy-strain relation using plane wave method in DFT approach. All the calculated results are well consistence with experimental and reported data
Quantum-Gravity Thermodynamics, Incorporating the Theory of Exactly Soluble Active Stochastic Processes, with Applications
by Daley, K.
Published in IJTP in 2009. http://adsabs.harvard.edu/abs/2009IJTP..tmp...67D
Lecture 4: Introduction to Quantum Chemical Simulation graduate course taught at MIT in Fall 2014 by Heather Kulik. This course covers: wavefunction theory, density functional theory, force fields and molecular dynamics and sampling.
This resource is a comprehensive inorganic chemistry workbook for first year undergraduates. It is designed as a revision resource with plenty of worked examples followed by problems to try themselves. Worked answers are given to all the problems to allow students to develop confidence in problem solving.
NANO281 is the University of California San Diego NanoEngineering Department's first course on the application of data science in materials science. It is taught by Professor Shyue Ping Ong of the Materials Virtual Lab (http://www.materialsvirtuallab.org).
Lecture 3: Introduction to Quantum Chemical Simulation graduate course taught at MIT in Fall 2014 by Heather Kulik. This course covers: wavefunction theory, density functional theory, force fields and molecular dynamics and sampling.
A model of electron pairing, with depletion of mediating phonons at fermi sur...Qiang LI
We present a model of electron pairing based on nonstationary interpretation of electron-lattice interaction. Electron-lattice system has an intrinsic time dependent characteristic as featured by Golden Rule, by which electrons on matched pairing states are tuned to lattice wave modes, with pairing competition happening among multiple pairings associated with one electron state. The threshold phonon of an electron pair having a good quality factor can become redundant and be released from the pair to produce a binding energy. Lattice modes falling in a common linewidth compete with one another, like modes competing in a lasing system. In cuprates, due to near-parallel band splitting at and near Fermi Surface (EF), a great number of electron pairs are tuned to a relatively small number of lattice wave modes, leading to strong mode competition, transfer of real pairing-mediating phonons from EF towards the “kink”, and depletion of these phonons at and near EF.
Thorny Issues of Stakeholder Identification and Prioritization in Requirement...IOSR Journals
Abstract: Identifying the stakeholder in requirement engineering process is one of the critical issues. It
performs a remarkable part for successful project completion. The software project largely depends on several
stakeholders. Stakeholder identification and prioritization is still a challenging part in the software development
life cycle. Most of the time, the stakeholders are treated with less importance during the software deployment.
Additionally, there is a lack of attempt to think about the right project stakeholder by the development team. In
maximum cases, the stakeholder identification technique is performed incorrectly and there is a lack of attempt
to mark out them with priority. Besides, there are so many limitations on the existing processes which are used
for identifying stakeholders and setting their priority. These limitations pose a negative impact on the
development of software project, which should be pointed out by giving deep concern on it. We are aiming to
focus on this typical fact, so that we can figure out the actual problem and current work on identifying
stakeholders and setting their priority.
Keywords: Stakeholders, Stakeholder Identification, Stakeholder Selection, Stakeholder
Prioritization, Stakeholder Value, Software Development
Synthesis and Application of Direct Dyes Derived From Terephthalic and Isopht...IOSR Journals
Abstract: The synthesis of direct dyes derived from terephthalic and isophthalic acid using J and H- acids was
undertaken with the view of replacing benzidine moiety in the production of direct dyes. The amide derivatives
of isophthalic and terephthalic acids were used as the coupling components while aniline and its derivatives
were used as the source of diazo components. The amide derivatives were characterized by Gas
Chromatography/Mass Spectrometry and Infra-red analysis. The spectroscopic properties of the dyes in various
solvents were also examined and most of the dyes showed bathochromic shifts when the solvent was changed to
more polar solvents. The dyes also showed positive and negative halochromism with the addition of few drops of
hydrochloric acid (HCl). The synthesized dyes were applied to cotton fabrics and their performance properties
evaluated. They have good exhaustion in the presence of electrolyte and have good wash fastness properties
upon application of after-treating agents of values of 3-4, 4 and 4-5. They also had good fastness properties to
light of values between 4-7. Their resistance to rubbing and perspiration had values between 3 and 4-5. The
toxicity of the synthesized coupling components was studied using the Dietrich Lorke (LD50) method on Albino
miceand they were found to be non-toxic.
Key words: Benzidine, direct dyes, exhaustion, electrolyte, cotton, fastness.
Survey on Restful Web Services Using Open Authorization (Oauth)I01545356IOSR Journals
Abstract: Web services are application based programming interfaces (API) or web APIs that are accessed
through Hypertext Transfer Protocol (HTTP) to execute on a remote system hosting the requested services. A
RESTFUL web service is a budding technology, and a light weight approach that do not restrict the clientserver
communication. The open authorization (OAuth) 2.0 protocol enables the users to grant third-party
application access to their web resources without sharing their login credential data. The Authorization Server
includes authorization information with the Access Token and signs the Access Token. An access token can be
reused until it expires. An authentication filter is used for business services. This paper presents a secure
communication at the message level with minimum overhead and provides a fine grained authenticity using the
Jersey framework.
Keywords: Open authorization (oauth), Restful web services, HTTP protocols and uniform resource
identifier(URI).
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Influence of input power in Ar/H2 thermal plasma with silicon powder by numer...TELKOMNIKA JOURNAL
Numerical simulation in inductively coupled thermal plasma was made on the temperature distribution in argon (Ar)+hydrogen (H2) induction thermal plasma torch with silicon (Si) powder injection to obtain the temperature distribution and gas flow fields. The ICTP model was used in this research because it has benefit of good repeatability and no contamination process. Interactions between ICTP and injected powder are very complicated to be understood only by related experiments. Influence of input power in ICTP was numerically investigated on thermal plasma temperature fields and powder evaporation. The temperature distributions of thermal plasma and Si vapor distribution were compared at input powers of 20 kW, 30 kW, and 40 kW. Results indicated that higher input power increases the temperature of the thermal plasma with doughnut shape but it slightly enhances evaporation of the powder at the center axis of the plasma torch.
Optical and Impedance Spectroscopy Study of ZnS NanoparticlesIJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
Numerical Model of Microwave Heating in a Saturated Non-Uniform Porosity Medi...drboon
The microwave heating of a porous medium with a non-uniform porosity is numerically investigated, based on the proposed numerical model. A variation of porosity of the medium is considered. The generalized non-Darcian model developed takes into account of the presence of a solid drag and the inertial effect. The transient Maxwell’s equations are solved by using the finite difference time domain (FDTD) method to describe the electromagnetic field in the wave guide and medium. The temperature profile and velocity field within a medium are determined by the solution of the momentum, energy and Maxwell’s equations. The coupled non-linear set of these equations are solved using the SIMPLE algorithm. In this work, a detailed parametric study is conducted for a heat transport inside a rectangular enclosure filled with saturated porous medium of constant or variable porosity. The numerical results agree well with the experimental data. Variations in porosity significantly affect the microwave heating process as well as convective flow pattern.
Temperature, acceptor concentration and donor concentration dependency of ele...IJAMSE Journal
Mobility is an important factor to determine the speed of an electronic device. Devices composed of electronic materials with higher mobility are able to achieve higher speed. It is therefore favourable to maximize the mobility. In this paper, we have chosen GaN and GaP as semiconductor material and Low-field electron mobility has been calculated in bulk and wurzite phase GaN and GaP. The dependency of mobility upon temperature is shown. Beside this, dependency of mobility upon acceptor concentration and donor concentration are also shown.
Modeling the Dependence of Power Diode on Temperature and RadiationIJPEDS-IAES
A theoretical study had been carried out on the effect of radiation on the
electrical properties of silicon power diodes. Computer program
"PDRAD2015" was developed to solve the diode equations and to
introduce the operating conditions and radiation effects upon its
parameters. Temperature increase interrupts the electrical properties of the
diode in the direction of drop voltage decrease across the p-n junction. The
model was analyzed under the influence of different radiation type (gammarays,
neutrons, protons and electrons) with various dose levels and
energies. The carrier’s diffusion lengths were seriously affected leading
to a large increase in the forward voltage. These effects were found to be
function of radiation type, fluence and energy.
Study of size dependence of Raman scattering in Carbon nanotubes.
To Study Temperature dependence of Raman spectra
To Study spatial distribution of temperature during laser processing
To Study Temperature rise in CNTs as a function of laser power
Theoretically calculated Vs Experimental Raman temperature
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
UiPath Test Automation using UiPath Test Suite series, part 4
A010410103
1. IOSR Journal of Electronics and Communication Engineering (IOSR-JECE)
e-ISSN: 2278-2834,p- ISSN: 2278-8735.Volume 10, Issue 4, Ver. I (Jul - Aug .2015), PP 01-03
www.iosrjournals.org
DOI: 10.9790/2834-10410103 www.iosrjournals.org 1 | Page
Superconducting Behaviour of Carbon Nanotube (CNTS)
*Kanchan Kumar and **D.N. Singh
*Faculty; Dept.of Physics, MahilacollegeGodda (S.K.M.U.Dumka)
**Asst.Professor, Dept. of Physics, S.P.collegeDumka (S.K.M.U.Dumka)
Abstract: In our present article the concentration is given to the superconducting behaviour of CNTs. The
superconductivity of a material depends on transition temperature Tc. the impact of coulomb interaction is also
taken into account. A theory have been developed with resistivity and coherence length from the earlier
experimental curve between transition temperature and resistivity for a single wall nanotube.The curvature of
CNTs leads to the creation of new electron –phonon interaction can introduce superconductivity. In this part the
resistivity of carbon nanotube has been derived theoretically with relaxation time and Fermi velocity.
Keywords: 1transition temperature, 2coherance length, 3coulomb interaction, 4electron –phonon interaction
I. Introduction
In our recent development of nanotechnology CNTs are studied in different arena. The conductivity of
nanotubes have been determined by a number of workers. The superconductivity is to be discussed along that
way. It is familiar the superconductivity of a material depends on transition temperature Tc. it is the main task
before the workers how to decrease the temperature and to bring at transition point where the resistivity comes
to zero.
From the experiment between the transition temperature and resistivity, several curves appear in the
graph for a single wall nanotube [1].when the curvature of CNTs leads to the creation of new electron-phonon
scattering channels and consequent attractive electron phonon interactions [2] can induce superconductivity. It
means with rise in transition temperature, resistivity initially increases. However at a certain value of Tc,
resistivity comes down. The impact of coulomb interaction have been also introduced with resistivity.The
present article consists of introduction in section (I) a model (theory an technique) in section (II) result and
discussion in section (III), conclusion in section (IV), acknowledgement in section (V) and references in section
(VI).
(I) Model:
Let a nanotube of length ξ resistance R resistivity ρ for a certain range.
ρ ∝Tc (x≤a) ………………………………………..(1)
And ρ ∝
1
Tc
(x ≥ a)……………………………. .(2)
Where Tc is the transition temperature
Since resistivity, ρ=RA ξ……………………… .(3)
Where ξ is a coherence length
From Bardeen-cooper-schriffer (BCS) a coherence length with a superconducting gap, △ and Fermi velocity vf
is
ξ=
ℏvflmfp
△
Where lmfp=mean free path=λ (conveniencially)
ξ=
ℏvfλ
△
2. Superconducting behaviour of carbon nanotube (CNTs)
DOI: 10.9790/2834-10410103 www.iosrjournals.org 2 | Page
From eqn.(3) ρ=
RA
ℏvfλ
△
………………………………….(4)
If the coulomb interaction ie.interaction between electron-electron, a resistance may occur say Rc then eqn.(4) is
rewritten as
ρ=
(Rc +R)A
ℏvfλ
△
In superconducting state, coulomb interaction will be unaffected. So the resistance Rc is neglected i.e.
ρ=
RA
ℏvfλ
△
………………… (5)
If m is the mass of an electron, n, the number of electrons and τ is the relaxation time and A is the cross
sectional area of the nanotube.
A=πr2
= π [
2r
2
]2
== π [
dt
2
]2
= πdt
2
4
Where dt is the tube diameter,i.e.
dt==
□ 𝟑
□
(m2
+mn+n2
)12
here m and n are integers.
From eqn (5)
ρ =R
□ 𝟑
□
(m2+mn +n2)12
ℏvfλ
………………………(6)
In our general idea, the resistance with relaxation time τ is related to
R∝
1
τ
R=
k
τ
where k is a constant.
From eqn. (6)
ρ =
k
τ
□ 𝟑
□
(m2+mn +n2)12
ℏvfλ
………………….(7)
Where k is a constant
Fig. a graph between resistivity and temperature.
3. Superconducting behaviour of carbon nanotube (CNTs)
DOI: 10.9790/2834-10410103 www.iosrjournals.org 3 | Page
II. Result And Discussion
A Tc of~0.55k was measured [*]3 in ropes of SWNTs. Δ =1.76KBTc~85μev and a coherence length
ξ=300nm was inferred.
For a mean free path length, λ of 18nm and a Fermi velocity, vf of 8.0× 105
ms.
A higher Tc of 15k was reported [*4] in 04nm SWNTs embedded in a zeolite Matrix, accompanied by the
observation of an anisotropic Meissner effect, characteristic to one dimension.
Such an effect is very intriguing in that a strictly one-dimensional system is unstable to any fluctuations and true
superconducting behaviour can also be observed at T=0k.
It was also shown that [5] superconductivity could be induced in a metallic nanotube bundle in close
proximity with a superconducting electrode on a characteristic length scale, bounded by both the phase
coherence length and the thermal diffusion length. Induced superconductivity was inferred through the existence
of Josephson supercurrents, with a magnitude exceeding the theoretically predicted value of
π∆
eRN
RN is the
resistance of the junction. It is hypothesized that the superconducting state in the nanotube could have been
stabilized by the microscopic superconductivity of the contacts, tuned by varying a backside gate voltage Vg.
Contacts were varied between high and low transparency to incident electrons.
An incident electron at the contact is converted into a cooper pair with the concomitant introduction of
a reflected hole. In this case contacts are relatively opaque to the incident current.
In I-V characteristics with electron-electron interaction lead to non- superconducting state. The
superconducting behaviour shows at low temperature.
In our theoretically derived formula eqn.(7) consists of relaxation time, c is to be measured
experimentally. In earlier result relaxation time was not considered. It might be merged with some constant.
More- over, coulomb interaction have also been neglected.
III. Conclusion
When there is interaction between electro –electron, the relaxation time τ decreases.it tends to produce larger
resistivity. If weak interaction be managed so that the Fermi velocity increases. Through this way the resistivity
tends to decrease and leads to superconducting behaviour.
Acknowledgement
we would like to thankPh.D candidate Mr.Rajesh Kumar Yadav(Dept. of Physics, S.K.M.U,Dumka) a
research scholar (B.H.U. Varanasi) who inspired me for creative work and care of my supervisor Dr.D.N.
Singh(Dept. of Physics, S.K.M.U,Dumka)who gave the leading roles, have deeply affected me.
References
[1]. L.X.Benedict,V.H.Crespy.S.G.Louie, and M.L. Cohen, Phys.Rev.B 52, 14935(1995).
[2]. M.Tinkham, introduction to superconductivity, Dover Publications Inc.Mineola. NY(2004).
[3]. M.Kociak, A.Y.Kasumov.S.Gueron.B.Reulet.L.I.Khodos,Y.B.Gorbatov, V.T.Volkov.L.Vaccarini, and H.Bouchiat,
Phys.Rev.Lett.86.2416(2001).
[4]. Z.K.Tang.L.Zhang,N. Wang, X.X.Zhng. G.H. Wen, G.D.LiJ.N.Wang. C.T. chan, and P.sheng. science 292,2462 (2001).