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Sep 02 2015
18th International Workshop on Computational Electronics
2010 NCN@Purdue Summer School: Electronics from the Bottom Up
18 Jan 2011 |
Electronics from the Bottom Up seeks to bring a new perspective to electronic devices – one that is designed to help realize the opportunities that nanotechnology presents.
ABINIT: First-Time User Guide
09 Jun 2009 | | Contributor(s):: Benjamin P Haley
This first-time user guide provides an introduction to using ABINIT on nanoHUB. We include a very brief summary of Density Functional Theory along with a tour of the Rappture interface. We discuss the default simulation (what happens if you don't change any inputs, and just hit "simulate") as...
17 Aug 2008 | | Contributor(s):: Dragica Vasileska, Gerhard Klimeck, Xufeng Wang, Stephen M. Goodnick
This tool is used for the Advanced Computational Electronics Tool Based Curricula
ACUTE—Assembly for Computational Electronics
This nanoHUB “topic page” provides an easy access to selected nanoHUB educational material on computational electronics that is openly accessible.
We invite users to participate in...
Additional Tutorials on Selected Topics in Nanotechnology
23 Mar 2011 | | Contributor(s):: Gerhard Klimeck, Umesh V. Waghmare, Timothy S Fisher, N. S. Vidhyadhiraja
Select tutorials in nanotechnology, a part of the 2010 NCN@Purdue Summer School: Electronics from the Bottom Up.
Boltzmann Transport Simulator for CNTs
20 Feb 2008 | | Contributor(s):: Zlatan Aksamija, Umberto Ravaioli
Simulate Electron transport in Single-walled carbon nanotubes using an upwinding discretization of the Boltzmann transport equation in the relaxation time approximation.
out of 5 stars
07 Jul 2008 | | Contributor(s):: Dragica Vasileska, Gerhard Klimeck, Stephen M. Goodnick
As semiconductor feature sizes shrink into the nanometer scale regime, device behavior becomes increasingly complicated as new physical phenomena at short dimensions occur, and limitations in material properties are reached. In addition to the problems related to the actual operation of...
Computational Nanoscience, Pop-Quiz
15 May 2008 | | Contributor(s):: Elif Ertekin, Jeffrey C Grossman
This quiz summarizes the most important concepts which have covered in class so far related to Molecular Dynamics, Classical Monte Carlo Methods, and Quantum Mechanical Methods.University of California, Berkeley
Computer in Science Engineering: featuring nanoHUB.org
20 Apr 2010 |
The current issue of Computing in Science and Engineering focuses on cyber-enabled nanotechnology, and nanoHUB.org is featured extensively throughout.
ECE 595E Numerical Simulations for Energy Applications
17 Jan 2013 | | Contributor(s):: Peter Bermel
ECE 606 Lecture 26: The Future of Computational Electronics
20 Dec 2012 | | Contributor(s):: Gerhard Klimeck
Future Transistors and Single Atom Transistors; New Modeling Tools (NEMO); nanoHUB: Cloud Computing - Software as a Service
Electron Density in a Nanowire
30 Jan 2011 | | Contributor(s):: Gerhard Klimeck, Saumitra Raj Mehrotra
Electron Density in a circular Silicon nanowire transistor.
Excellence in Computer Simulation
19 Dec 2007 | | Contributor(s):: Mark Lundstrom, Jeffrey B. Neaton, Jeffrey C Grossman
Computational science is frequently labeled as a third branch of science - equal in standing with theory and experiment, and computational engineering is now an essential component of technology development and manufacturing. The successes of computational science and engineering (CSE) over the...
Exploring Physical and Chemical control of molecular conductance: A computational study
31 Jan 2008 | | Contributor(s):: Barry D. Dunietz
From Semi-Classical to Quantum Transport Modeling: What is Computational Electronics?
09 Aug 2009 | | Contributor(s):: Dragica Vasileska
This set of powerpoint slides series provides insight on what are the tools available for modeling devices that behave either classically or quantum-mechanically. An in-depth description is provided to the approaches with emphasis on the advantages and disadvantages of each approach. Conclusions...
Nanoelectronic Modeling Lecture 22: NEMO1D - Motivation, History and Key Insights
05 Feb 2010 | | Contributor(s):: Gerhard Klimeck
The primary objective of the NEMO-1D tool was the quantitative modeling of high performance Resonant Tunneling Diodes (RTDs). The software tool was intended for Engineers (concepts, fast turn-around, interactive) and Scientists (detailed device anaysis). Therefore various degrees of...