Tags: nanotransistors

Description

 

A nanotransistor is a transistor whose dimensions are measured in nanometers. Transistors are used for switching and amplifying electronic signals. When combined in the millions and billions, they can be used to create sophisticated programmable information processors.

 

All Categories (1-20 of 504)

  1. Modified Virtual-Source Model for Degraded Short Channel MOSFET

    Downloads | 28 Oct 2024 | Contributor(s):: Qu Junru

    Modified the MVS Nanotransistor Model (Silicon) 1.1.1 model published by MIT to add parameter degradation predictions for devices after hot-carrier stress, making it applicable to degraded short-channel MOSFETs.

  2. Essential Physics of the Ultimate MOSFET and the Next 20 Years of Semiconductor Technology

    Online Presentations | 18 Mar 2024 | Contributor(s):: Mark Lundstrom

    My goal in this talk is to discuss the operation of these devices in a simple but physically sound way. A broader goal of my talk is to discuss how semiconductor technology will meet the insatiable appetite that artificial intelligence has for more computing, more memory, and faster communication.

  3. Transistors!

    Papers | 04 Mar 2024 | Contributor(s):: Mark Lundstrom

    As we begin a new era, in which making transistors smaller will no longer be a major driving force for progress, it is time to look back at what we have learned in transistor research. Today we see a need to convey as simply and clearly as possible the essential physics of the device that makes...

  4. ABACUS Tool Suite (Fall 2023)

    Series | 19 Oct 2023 | Contributor(s):: Gerhard Klimeck

    The objective of the recitation series is to enable faculty to enhance existing or new semiconductor classes with interactive simulations.

  5. ABACUS Tool Suite and Bipolar Junction Transistors (Fall 2023)

    Online Presentations | 18 Oct 2023 | Contributor(s):: Gerhard Klimeck

    In the fifth session, Dr. Klimeck will give a brief overview of ABACUS and demonstrate the Bipolar-Junction-Transistor-Lab. Students can experiment with npn and pnp BJTs in ideal textbook 1D geometries as well as realistic 2D geometries.

  6. ECE 606: Solid State Devices I

    Courses | 20 Jul 2023 | Contributor(s):: Gerhard Klimeck

    This course provides the graduate-level introduction to understand, analyze, characterize and design the operation of semiconductor devices such as transistors, diodes, solar cells, light-emitting devices, and more.The material will primarily appeal to electrical engineering students whose...

  7. Young Suh Song

    Mr. Song is a researcher who has worked in the field of semiconductor. His current research interests have included CMOS, CNT, III-V devices, high electron mobility transistor (HEMT), semiconductor...

    https://nanohub.org/members/402395

  8. Fractionalization of Charge and Statistics in Two Dimensions

    Online Presentations | 14 Dec 2022 | Contributor(s):: Michael J. Manfra

    This lecture will focus on the development of experiments that allow the first direct observation of anyonic braiding statistics in the fractional quantum Hall regime. The connection between development of new theoretical concepts and the behavior of a humble transistor will be emphasized.

  9. Hafeez Raza

    https://nanohub.org/members/386191

  10. ANDRES RAYMUNDO MU�OZ BUCIO

    https://nanohub.org/members/370298

  11. ABACUS Bipolar Junction Transistors (Spring 2022)

    Online Presentations | 08 Jun 2022 | Contributor(s):: Gerhard Klimeck

    In the fifth session, Dr. Klimeck will give a brief overview of ABACUS and demonstrate the Bipolar-Junction-Transistor-Lab. Students can experiment with npn and pnp BJTs in ideal textbook 1D geometries as well as realistic 2D geometries....

  12. Fundamentals of Nanotransistors

    Papers | 30 Jan 2022 | Contributor(s):: Mark Lundstrom

    The objective of these lectures is to provide readers with an understanding of the essential physics of nanoscale transistors as well as some of the practical technological considerations and fundamental limits. This book is written in a way that is broadly accessible to students with only a...

  13. ABACUS Bipolar Junction Transistors (Winter 2021)

    Online Presentations | 25 Jan 2022 | Contributor(s):: Gerhard Klimeck

    In the fifth session, Dr. Klimeck will give a brief overview of ABACUS and demonstrate the Bipolar-Junction-Transistor-Lab. Students can experiment with npn and pnp BJTs in ideal textbook 1D geometries as well as realistic 2D geometries. Different experiments with variations in doping profiles,...

  14. What's the mobility?

    Downloads | 08 Sep 2021 | Contributor(s):: Eric Pop

    This is a very simple Excel spreadsheet which can be used for quick-and-dirty effective mobility estimates from published current vs. voltage (I-V) transistor data in the linear regime. The user simply needs to read the drain current, threshold voltage, gate-to-source and drain-to-source...

  15. IWCN 2021: Effective Monte Carlo Simulator of Hole Transport in SiGe alloys

    Online Presentations | 25 Jul 2021 | Contributor(s):: Caroline dos Santos Soares, Alan Rossetto, Dragica Vasileska, Gilson Wirth

    In this work, an Ensemble Monte Carlo (EMC) transport simulator is presented for simulation of hole transport in SiGe alloys.

  16. IWCN 2021: How to Preserve the Kramers-Kronig Relation in Inelastic Atomistic Quantum Transport Calculations

    Online Presentations | 15 Jul 2021 | Contributor(s):: Daniel Alberto Lemus, James Charles, Tillmann Christoph Kubis

    The nonequilibrium Green’s function method (NEGF) is often used to predict quantum transport in atomically resolved nanodevices. This yields a high numerical load when inelastic scattering is included. Atomistic NEGF had been regularly applied on nanodevices, such as nanotransistors....

  17. SAGAR THAKRAN

    https://nanohub.org/members/328769

  18. Sashank Krishna S

    https://nanohub.org/members/324824

  19. Tigran David Grigoryan

    https://nanohub.org/members/315956

  20. Recursive algorithm for NEGF in Python GPU version

    Downloads | 02 Feb 2021 | Contributor(s):: Ning Yang, Tong Wu, Jing Guo

    This folder contains two Python functions for GPU-accelerated simulation, which implements the recursive algorithm in the non-equilibrium Green’s function (NEGF) formalism. Compared to the matlab implementation [1], the GPU version allows massive parallel running over many cores on GPU...