Find information on common issues.
Ask questions and find answers from other users.
Suggest a new site feature or improvement.
Check on status of your tickets.
Progress in technology has brought microelectronics to the nanoscale, but nanoelectronics is not yet a well-defined engineering discipline with a coherent, experimentally verified, theoretical framework. The NCN has a vision for a new, 'bottom-up' approach to electronics, which involves: understanding electronic conduction at the atomistic level; formulating new simulation techniques; developing a new generation of software tools; and bringing this new understanding and perspective into the classroom. We address problems in atomistic phenomena, quantum transport, percolative transport in inhomogeneous media, reliability, and the connection of nanoelectronics to new problems such as biology, medicine, and energy. We work closely with experimentalists to understand nanoscale phenomena and to explore new device concepts. In the course of this work, we produce open source software tools and educational resources that we share with the community through the nanoHUB.
This page is a starting point for nanoHUB users interested in nanoelectronics. It lists key resources developed by the NCN Nanoelectronics team. The nanoHUB contains many more resources for nanoelectronics, and they can be located with the nanoHUB search function. To find all nanoelectronics resources, search for 'nanoelectronics.' To find those contributed by the NCN nanoelectronics team, search for 'NCNnanoelectronics.'
More information on Nanoelectronics can be found here.
GIFTLIN GEORGE G PRK17PH1016
Suggested Courses, for a begginer in nanoelectronics with no prior knowledge of Quantum Mechanics
Closed | Responses: 0
Thank you for the wonderful resources and helpful community members, I new to nanoelectronics and just started taking the self-paced course ECE 606. I have fairly good...
Dan Thomas Fenu
Simulation based Thermal Design Framework for Accelerated Structure exploration (STEDFAST)
09 Aug 2018 | Contributor(s):: Prabudhya Roy Roy Chowdhury, Adam Sandor Garrett, Colleen Reynolds, Xiulin Ruan
Perform a genetic algorithm to optimize superlattice structures.
Edison Aguiar de Souza Neto
ODAY ARKAN AL-OWAEDI
Computational Catalysis with DFT
01 Aug 2018 | Contributor(s):: Kevin Greenman, Peilin Liao
DFT tool for studying heterogeneous catalysis
Ranjit A. Patil
Fundamental of Nanoelectronics
09 Jul 2018 |
Posted by Yiheng Zhu
Mark Joseph Hagmann
JFETlab: An Online Simulation Tool for Double Gate Symmetrical JFETs
out of 5 stars
19 Dec 2016 | | Contributor(s):: Nikolaos Makris, Matthias Bucher, Farzan Jazaeri
Online eudcational tool for simulation of electrical characteristics of Junction Field Effect Transistors (JFETs)
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...
NCN Retrospective Metrics Report
03 May 2018 | | Contributor(s):: Dwight McKay
This tool and the associated new hub-analytics package replace the old NCN Annual Report with a easily modified, more self-service alternative geared to current and future reporting requirements.
Optimized Workflow for Electronic and Thermoelectric Properties
14 Aug 2017 | | Contributor(s):: Gustavo Javier, Austin Zadoks, David M Guzman, Alejandro Strachan
Uses Density Functional Theory (DFT) to extract electronic properties of materials and connects to the nanoHUB tool Landauer Transport Properties (LanTraP) for thermoelectric calculations.