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 494)

  1. Fractionalization of Charge and Statistics in Two Dimensions

    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.

  2. Hafeez Raza

    https://nanohub.org/members/386191

  3. ANDRES RAYMUNDO MU�OZ BUCIO

    https://nanohub.org/members/370298

  4. ABACUS Bipolar Junction Transistors (Spring 2022)

    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....

  5. Fundamentals of Nanotransistors

    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...

  6. ABACUS Bipolar Junction Transistors (Winter 2021)

    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,...

  7. What's the mobility?

    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...

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

    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.

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

    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....

  10. SAGAR THAKRAN

    https://nanohub.org/members/328769

  11. Sashank Krishna S

    https://nanohub.org/members/324824

  12. Tigran David Grigoryan

    https://nanohub.org/members/315956

  13. Recursive algorithm for NEGF in Python GPU version

    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...

  14. Shazan Ah Bhat

    https://nanohub.org/members/301260

  15. 25 Linearity by Synthesis: An Intrinsically Linear AlGaN/GaN-on-Si Transistor with OIP3/(F-1)PDC of 10.1 at 30 GHz

    21 Sep 2020 | | Contributor(s):: Woojin Choi, Venkatesh Balasubramanian, Peter M. Asbeck, Shadi Dayeh

    The concept of an intrinsically synthesizable linear device is demonstrated. It was implemented by changing only the device layout; additional performance gains can be attained by further materials engineering.

  16. carlos alberto may zarinana

    https://nanohub.org/members/280419

  17. Teakhoon Lim

    https://nanohub.org/members/278747

  18. ABACUS—Introduction to Semiconductor Devices

    When we hear the term semiconductor device, we may think first of the transistors in PCs or video game consoles, but transistors are the basic component in all of the electronic devices we use in...

    https://nanohub.org/wiki/EduSemiconductor2

  19. Suprit Chaudhari

    I am a final year undergraduate student of Engineering Physics at the Indian Institute of Technology (IIT), Guwahati. I am interested in Nanotechnology and machine learning.

    https://nanohub.org/members/224852

  20. Adelcio Marques de Souza

    https://nanohub.org/members/216363