
Manual for the Generalized Bulk Monte Carlo Tool
24 Jun 2011  Teaching Materials  Contributor(s): Raghuraj Hathwar, Dragica Vasileska
This manual describes the physics implemented behind the generalized bulk Monte Carlo tool.
https://nanohub.org/resources/11474

Generalized Monte Carlo Presentation
20 Jun 2011  Teaching Materials  Contributor(s): Dragica Vasileska
This presentation goes along with the Bulk Monte Carlo tool on the nanoHUB that calculates transients and steadystate velocityfield characteristics of arbitrary materials such as Si, Ge, GaAs,...
https://nanohub.org/resources/11425

High Field Transport and the Monte Carlo Method for the Solution of the Boltzmann Transport Equation
23 Jul 2010  Teaching Materials  Contributor(s): Dragica Vasileska
This set of slides first describes the pathintegral solution of the BTE and then discusses in details the Monte Carlo Method for the Solution of the Boltzmann Transport Equation.
https://nanohub.org/resources/9403

Atomistic Simulations of Reliability
06 Jul 2010  Teaching Materials  Contributor(s): Dragica Vasileska
Discrete impurity effects in terms of their statistical variations in number and position in the inversion and depletion region of a MOSFET, as the gate length is aggressively scaled, have...
https://nanohub.org/resources/9253

Bulk Monte Carlo: Implementation Details and Source Codes Download
01 Jun 2010  Teaching Materials  Contributor(s): Dragica Vasileska, Stephen M. Goodnick
The Ensemble Monte Carlo technique has been used now for over 30 years as a numerical method to simulate nonequilibrium transport in semiconductor materials and devices, and has been the subject...
https://nanohub.org/resources/9109

Lecture 7: Initialization and Equilibrium
05 Jan 2010  Presentation Materials  Contributor(s): Ashlie Martini
Topics:
Initial positions
Initial velocities
Evaluating equilibrium
https://nanohub.org/resources/8122

ECE 656 Lecture 31: Monte Carlo Simulation
01 Dec 2009  Online Presentations  Contributor(s): Mark Lundstrom
Outline:
Introduction
Review of carrier scattering
Simulating carrier trajectories
Free flight
Collision
Update after collision
Putting it all together
Summary
https://nanohub.org/resources/7886

ECE 656 Lecture 30: Balance Equation Approach III
01 Dec 2009  Online Presentations  Contributor(s): Mark Lundstrom
Outline
Carrier Temperature and Heat Flux
Balance equations in 3D
Heterostructures
Summary
https://nanohub.org/resources/7885

From SemiClassical to Quantum Transport Modeling: ParticleBased Device Simulations
10 Aug 2009  Teaching Materials  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 quantummechanically. An indepth description is...
https://nanohub.org/resources/7214

Band Structure Lab: FirstTime User Guide
15 Jun 2009  Teaching Materials  Contributor(s): Abhijeet Paul, Benjamin P Haley, Gerhard Klimeck
This document provides useful information about Band Structure Lab. Firsttime users will find basic ideas about the physics behind the tool such as band formation, the Hamiltonian description,...
https://nanohub.org/resources/6935

Illinois PHYS 466, Lecture 18: Kinetic Monte Carlo (KMC)
04 May 2009  Online Presentations  Contributor(s): David M. Ceperley, Omar N Sobh
https://nanohub.org/resources/6732

Archimedes, GNU Monte Carlo simulator
29 May 2008  Tools  Contributor(s): Jean Michel D Sellier
GNU Monte Carlo simulation of 2D semiconductor devices, IIIV materials
https://nanohub.org/resources/archimedes

Quantum and Thermal Effects in Nanoscale Devices
18 Sep 2008  Online Presentations  Contributor(s): Dragica Vasileska
To investigate lattice heating within a Monte Carlo device simulation framework, we simultaneously solve the Boltzmann transport equation for the electrons, the 2D Poisson equation to get the...
https://nanohub.org/resources/5448

Homework Assignment for Bulk Monte Carlo Lab: Velocity vs. Field for Arbitrary Crystallographic Orientations
21 Aug 2008  Teaching Materials  Contributor(s): Dragica Vasileska, Gerhard Klimeck
User needs to calculate and compare to experiment the velocity field characteristics for electrons in Si for different crystalographic directions and 77K and 300K temperatures.
https://nanohub.org/resources/5321

Homework Assignment for Bulk Monte Carlo Lab: Arbitrary Crystallographic Direction
20 Aug 2008  Teaching Materials  Contributor(s): Dragica Vasileska, Gerhard Klimeck
This exercise teaches the users how the average carrier velocity, average carrier energy and vally occupation change with the application of the electric field in arbitrary crystalographic direction
https://nanohub.org/resources/5275

Bulk Monte Carlo Code Described
01 Jul 2008  Teaching Materials  Contributor(s): Dragica Vasileska
In this tutorial we give implementation details for the bulk Monte Carlo code for calculating the electron drift velocity, velocityfield characteristics and average carrier energy in bulk GaAs...
https://nanohub.org/resources/4843

Consistent Parameter Set for an Ensemble Monte Carlo Simulation of 4HSiC
01 Jul 2008  Papers  Contributor(s): Dragica Vasileska
A consistent parameter set is presented for Ensemble Monte Carlo simulation that simultaneously reproduces the experimental lowfield and highfield characteristic transport parameters of 4H...
https://nanohub.org/resources/4845

Computational Nanoscience, Lecture 20: Quantum Monte Carlo, part I
15 May 2008  Teaching Materials  Contributor(s): Elif Ertekin, Jeffrey C Grossman
This lecture provides and introduction to Quantum Monte Carlo methods. We review the concept of electron correlation and introduce Variational Monte Carlo methods as an approach to going beyond...
https://nanohub.org/resources/4564

Computational Nanoscience, Lecture 21: Quantum Monte Carlo, part II
15 May 2008  Teaching Materials  Contributor(s): Jeffrey C Grossman, Elif Ertekin
This is our second lecture in a series on Quantum Monte Carlo methods. We describe the Diffusion Monte Carlo approach here, in which the approximation to the solution is not restricted by choice...
https://nanohub.org/resources/4566

Computational Nanoscience, Lecture 27: Simulating Water and Examples in Computational Biology
16 May 2008  Teaching Materials  Contributor(s): Elif Ertekin, Jeffrey C Grossman
In this lecture, we describe the challenges in simulating water and introduce both explicit and implicit approaches. We also briefly describe protein structure, the Levinthal paradox, and...
https://nanohub.org/resources/4576