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Tunneling Field-Effect Transistor (TFET) has emerged as an alternative for conventional CMOS by enabling the supply voltage, VDD, scaling in ultra-low power, energy efficient computing, due to its sub-60 mV/decade sub-threshold slope (SS). Given its unique device characteristics such as the asymmetrical source/drain design induced unidirectional conduction, enhanced on-state Miller capacitance effect and steep switching at low voltages, TFET based circuit design requires strong interactions between the device-level and the circuit-level to explore the performance benefits, with certain modifications of the conventional CMOS circuits to achieve the functionality and optimal energy efficiency. Because TFET operates at low supply voltage range (VDD<0.5V) to outperform CMOS, reliability issues can have profound impact on the circuit design from the practical application perspective. In this thesis report, we have analyzed the drain current characteristics of TFET with respect channel length. From our simulation result, it is observed that the drain current is minimum with respect to increasing channel length for Si and the drain current decreases for all the materials when the channel length is increased and after normalization lowest value of drain current is got for 10nm channel length.
Analytical Modeling of Tunneling Field Effect Transistor (TFET)
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Tunneling Field-Effect Transistor (TFET) has emerged as an alternative for conventional CMOS by enabling the supply voltage, VDD, scaling in ultra-low power, energy efficient computing, due to its sub-60 mV/decade sub-threshold slope (SS). Given its unique device characteristics such as the asymmetrical source/drain design induced unidirectional conduction, enhanced on-state Miller capacitance effect and steep switching at low voltages, TFET based circuit design requires strong interactions between the device-level and the circuit-level to explore the performance benefits, with certain modifications of the conventional CMOS circuits to achieve the functionality and optimal energy efficiency. Because TFET operates at low supply voltage range (VDD<0.5V) to outperform CMOS, reliability issues can have profound impact on the circuit design from the practical application perspective. In this thesis report, we have analyzed the drain current characteristics of TFET with respect channel length. From our simulation result, it is observed that the drain current is minimum with respect to increasing channel length for Si and the drain current decreases for all the materials when the channel length is increased and after normalization lowest value of drain current is got for 10nm channel length.
Analytical Modeling of Tunneling Field Effect Transistor (TFET)
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Abu Obayda
https://irjet.net/archives/V4/i7/IRJET-V4I7265.pdf
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Short Channel Effects are governed by complex physical phenomena and mainly Influenced because of both vertical and horizontal electric field components. To meet the current requirements of Electronic devices, the miniaturization of devices is important. And so is Second Order effects which otherwise degrade the performance of devices.
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Short Channel Effects are governed by complex physical phenomena and mainly Influenced because of both vertical and horizontal electric field components. To meet the current requirements of Electronic devices, the miniaturization of devices is important. And so is Second Order effects which otherwise degrade the performance of devices.
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Hamed Touhidi ,Mehdi Shafiee, Behrooz Vahidi,Seyed Hossein Hosseinian, "Sensitivity Analysis of Maximum Overvoltage on Cables with Considering Forward and Backward Waves ", International Research Journal of Engineering and Technology (IRJET), Vol2,issue-01 April 2015. e-ISSN:2395-0056, p-ISSN:2395-0072. www.irjet.net Abstract lightning is known to be one of the primary sources of most surges in high keraunic areas. It is well-known fact that surge overvoltage is a significant contribution in cable failures. The other source of surge voltage is due to switching and it is pronounce on extra high voltage power transmission systems. The effect of both lightning and switching surges is weakening the cable insulation. The progressive weakening of such insulation will lead to cable deterioration and eventually its failure. Each surge impulse on the cable will contribute with other factors towards cable insulation strength deterioration and ultimately cable can fail by an overvoltage level below the cable basic impulse level (BIL). The maximum lightning overvoltage for a given cable depends on a large number of parameters. This paper presents the effect of model parameters (e.g., rise time and amplitude of surge, length of cable, resistivity of the core and sheath, tower footing resistance, number of sub conductors in the phase conductor (bundle), effect of surge arrester, length of lead, relative permittivity of the insulator material outside the core, power frequency voltage, stroke location, cable joints, shunt reactors, sheath thickness) on maximum cable voltage. The simulations show that the maximum overvoltage.
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Digital Global Overview Report 2024 Slides presentation for Event presented in 2024 after compilation of data around last year.
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
hans926745
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
The Digital Insurer
This presentations targets students or working professionals. You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many developer tools, platforms & APIs? This comprehensive yet still high-level overview outlines the most impactful tools for where to run your code, store & analyze your data. It will also inspire you as to what's possible. This talk is 50 minutes in length.
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
wesley chun
Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
sammart93
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
The Digital Insurer
Presentation on the progress in the Domino Container community project as delivered at the Engage 2024 conference
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
Martijn de Jong
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Sara Mae O’Brien Scott and Tatiana Baquero Cakici, Senior Consultants at Enterprise Knowledge (EK), presented “AI Fast Track to Search-Focused AI Solutions” at the Information Architecture Conference (IAC24) that took place on April 11, 2024 in Seattle, WA. In their presentation, O’Brien-Scott and Cakici focused on what Enterprise AI is, why it is important, and what it takes to empower organizations to get started on a search-based AI journey and stay on track. The presentation explored the complexities of enterprise search challenges and how IA principles can be leveraged to provide AI solutions through the use of a semantic layer. O’Brien-Scott and Cakici showcased a case study where a taxonomy, an ontology, and a knowledge graph were used to structure content at a healthcare workforce solutions organization, providing personalized content recommendations and increasing content findability. In this session, participants gained insights about the following: Most common types of AI categories and use cases; Recommended steps to design and implement taxonomies and ontologies, ensuring they evolve effectively and support the organization’s search objectives; Taxonomy and ontology design considerations and best practices; Real-world AI applications that illustrated the value of taxonomies, ontologies, and knowledge graphs; and Tools, roles, and skills to design and implement AI-powered search solutions.
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
Enterprise Knowledge
With more memory available, system performance of three Dell devices increased, which can translate to a better user experience Conclusion When your system has plenty of RAM to meet your needs, you can efficiently access the applications and data you need to finish projects and to-do lists without sacrificing time and focus. Our test results show that with more memory available, three Dell PCs delivered better performance and took less time to complete the Procyon Office Productivity benchmark. These advantages translate to users being able to complete workflows more quickly and multitask more easily. Whether you need the mobility of the Latitude 5440, the creative capabilities of the Precision 3470, or the high performance of the OptiPlex Tower Plus 7010, configuring your system with more RAM can help keep processes running smoothly, enabling you to do more without compromising performance.
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
Principled Technologies
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Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
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[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
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Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
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How to Troubleshoot Apps for the Modern Connected Worker
Tunnel field effect transistor
1.
Tunnel Field-Effect Transistor Next-generation
Transistors Presented by Tsu-Wen Sung
2.
OUTLINE Introduction ComparisonSimulation
3.
INTRODUCTION
4.
P+ N+ Intrinsic Dielectric Gate Source Bulk Drain Similar Structure
5.
Switching Mechanism Differs (From
Wiki)
6.
7.
8.
SIMULATION
9.
Direct Bandgap III-V Kane-Sze
Model
10.
a, b :
Material-dependent parameter f : Determines the onset of current E : Maximum electric field across the tunnel Vtw : tunneling potential across the tunnel window
11.
Kane-Sze Model NDR Ambipolor Esaki Diode VGS VDS
12.
Choose InAs Homojunction TFET Gate Intrinsic
InAs Channel P+ InAs Source N+ InAs Drain TCh LG TOX
13.
High-Performance NMOS InAs Homojunction TFET W =
1 um ; L = 20nm W = 1 um ; L = 20nm Si InAs Unified Model Kane-Sze Model
14.
High-Performance NMOS InAs Homojunction TFET
15.
COMPARISON
16.
Combine
17.
High-Performance NMOS InAs Homojunction TFET On/Off ratio:
105 ~ 1019 Power: 3*10-3 W Subthreshold Swing: 60mV/dec On/Off ratio: 103 ~ 104 Power: 3*10-4 W Subthreshold Swing: 50mV/dec
18.
Q&A
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