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[Illinois] BioNanotechnology Summer Institute 2015: Modeling Nanopore for Sequencing DNA
29 Jun 2016 | Online Presentations | Contributor(s): Alexei Aksimentiev
Introduction to Computational Modeling - Input Parameters for SIESTA Simulation
16 Jun 2016 | Online Presentations | Contributor(s): Lan Li
This instructional video is part 2 in a two part series. It explains how to set up input parameters for the SIESTA simulation tool.
Introduction to Computational Modeling - Schrödinger Equation, Density Functional Theory (DFT), Kohn-Sham Method, DFT Code SIESTA
This instructional video is part 1 in a two part series. It provides an
introduction to computational modeling, including motivation for studying
this topic. The Schrödinger...
A UCSD analytic TFET model
18 Dec 2015 | Downloads | Contributor(s): Jianzhi Wu, Yuan Taur
A continuous, analytic I-V model is developed for double-gate and nanowire tunnel FETs with 3D density of states, including depletion in the source. At the core of the model is a...
[Illinois] Modeling and Characterization of Anisotropic Objects by Volume Integral Equation Methods
10 Mar 2015 | Online Presentations | Contributor(s): Lin Sun
Lin Sun received her B.S. and M.S. degrees in Electrical Engineering from Tsinghua University, Beijing, China, in 2001 and 2004 and Ph.D. degree in Electrical and Computer Engineering from the...
Mathematical Models and Simulations Workshop Presentation
10 Mar 2015 | Presentation Materials | Contributor(s): Kelsey Joy Rodgers, Heidi A Diefes-Dux, Krishna Madhavan, Yi Kong
Developing engineers for a changing world presents a greater need for students to understand simulations. Understanding mathematical models and simulations are skills that all engineers need for...
20 Jan 2015 | Online Presentations | Contributor(s): Lin Sun
Framework for Evaluating Simulations: Analysis of Student Developed Interactive Computer Tools
21 Jul 2014 | Papers | Contributor(s): Kelsey Joy Rodgers, Heidi A Diefes-Dux, Krishna Madhavan
Computer simulations are discussed in the learning environment from two major perspectives: 1) teaching students how to build simulations and 2) developing simulations to teach students targeted...
[Illinois] MCB 493 Neural Systems Modeling
29 Oct 2013 | Courses | Contributor(s): Thomas J. Anastasio
The purpose of this independent study is to give students hands-on experience in using computers to model neural systems. A neural system is a system of interconnected neural elements, or units....
Model Validation Document for "A Meta-Analysis of Carbon Nanotube Pulmonary Toxicity Studies – How Physical Dimensions and Impurities Affect the Toxicity of Carbon Nanotubes"
19 Nov 2012 | Papers | Contributor(s): Jeremy M Gernand, Elizabeth Casman
This document contains model learning statistics, and structure of the models utilized in the paper “A meta-analysis of carbon nanotube pulmonary toxicity studies – How physical dimensions and...
[Illinois] Coarse-grained and Multiscale Modeling of Biological Systems
19 Jun 2012 | Online Presentations | Contributor(s): Emad Tajkhorshid
Dec 07 2011
International Semiconductor Device Research Symposium (ISDRS) 2011
Bulk Monte Carlo Learning Materials
By completing the Bulk Monte Carlo Lab exercises and tests, users will be able to: a) understand the way the Boltzmann Transport Equation (BTE) is solved using the Monte Carlo method, b) the...
Nanoelectronics and Modeling at the Nanoscale
30 Jun 2011 | Series | Contributor(s): Dragica Vasileska, Gerhard Klimeck
Nanoelectronics refers to the use of nanotechnology on electronic components, especially transistors. Although the term nanotechnology is generally defined as utilizing technology less than 100 nm...
What are the proper transport models at the nanoscale?
30 Jun 2011 | Teaching Materials | Contributor(s): Dragica Vasileska, Gerhard Klimeck
This presentation is part of the series Nanoelectronics and Modeling at the Nanoscale
General Concepts of Modeling Semiconductor Devices
27 Jun 2011 | Teaching Materials | Contributor(s): Dragica Vasileska, Gerhard Klimeck
This presentation is part of a series: Nanoelectronics and Modeling at the Nanoscale. It elucidates on the various methodologies needed for modeling semiconductor devices.
Tutorial 4: Far-From-Equilibrium Quantum Transport
29 Mar 2011 | Courses | Contributor(s): Gerhard Klimeck
These lectures focus on the application of the theories using the nanoelectronic modeling tools NEMO 1- D, NEMO 3-D, and OMEN to realistically extended devices. Topics to be covered are realistic...
Tutorial 4b: Introduction to the NEMO3D Tool - Electronic Structure and Transport in 3D
29 Mar 2011 | Online Presentations | Contributor(s): Gerhard Klimeck
Electronic Structure and Transport in 3D - Quantum Dots, Nanowires and Ultra-Thin Body Transistors