Archimedes, GNU Monte Carlo simulator

29 May 2008 | Tools | Contributor(s): Jean Michel D Sellier

GNU Monte Carlo simulation of 2D semiconductor devices, III-V materials

https://nanohub.org/resources/4671

Atomistic Simulations of Reliability

01 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 recently …

https://nanohub.org/resources/9253

Band Structure Lab: First-Time 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. First-time users will find basic ideas about the physics behind the tool such as band formation, the Hamiltonian description, and …

https://nanohub.org/resources/6935

BioMOCA Demo

30 May 2006 | Tools | Contributor(s): Reza Toghraee, Umberto Ravaioli

Transport Monte Carlo simulation of conduction in biological Ionic Channels.

https://nanohub.org/resources/1497

BioMOCA Suite

04 Feb 2008 | Tools | Contributor(s): David Papke, Reza Toghraee, Umberto Ravaioli, Ankit Raj

Simulates ion flow through a channel.

https://nanohub.org/resources/3981

Bulk GaAs Ensemble Monte Carlo

04 Apr 2006 | Tools | Contributor(s): Mohamed Mohamed, Anjali Bharthuar, Umberto Ravaioli

Basic Ensemble Monte Carlo code for the study of transport in bulk GaAs semiconductor.

https://nanohub.org/resources/2920

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, velocity-field characteristics and average carrier energy in bulk GaAs …

https://nanohub.org/resources/4843

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 of …

https://nanohub.org/resources/9109

Computational Nanoscience, Homework Assignment 4: Hard-Sphere Monte Carlo and Ising Model

05 Mar 2008 | Teaching Materials | Contributor(s): Elif Ertekin, Jeffrey C Grossman

In this assignment, you will explore the use of Monte Carlo techniques to look at (1) hard-sphere systems and (2) Ising model of the ferromagnetic-paramagnetic phase transition in two-dimensions. …

https://nanohub.org/resources/4134

Computational Nanoscience, Lecture 10: Brief Review, Kinetic Monte Carlo, and Random Numbers

25 Feb 2008 | Teaching Materials | Contributor(s): Elif Ertekin, Jeffrey C Grossman

We conclude our discussion of Monte Carlo methods with a brief review of the concepts covered in the three previous lectures. Then, the Kinetic Monte Carlo method is introduced, including …

https://nanohub.org/resources/4090

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 the …

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 of …

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

Computational Nanoscience, Lecture 4: Geometry Optimization and Seeing What You're Doing

13 Feb 2008 | Teaching Materials | Contributor(s): Jeffrey C Grossman, Elif Ertekin

In this lecture, we discuss various methods for finding the ground state structure of a given system by minimizing its energy. Derivative and non-derivative methods are discussed, as well as the …

https://nanohub.org/resources/4035

Computational Nanoscience, Lecture 7: Monte Carlo Simulation Part I

15 Feb 2008 | Teaching Materials | Contributor(s): Jeffrey C Grossman, Elif Ertekin

The purpose of this lecture is to introduce Monte Carlo methods as a form of stochastic simulation. Some introductory examples of Monte Carlo methods are given, and a basic introduction to relevant …

https://nanohub.org/resources/4044

Computational Nanoscience, Lecture 8: Monte Carlo Simulation Part II

14 Feb 2008 | Teaching Materials | Contributor(s): Elif Ertekin, Jeffrey C Grossman

In this lecture, we continue our discussion of Monte Carlo simulation. Examples from Hard Sphere Monte Carlo simulations based on the Metropolis algorithm and from Grand Canonical Monte Carlo …

https://nanohub.org/resources/4056

Computational Nanoscience, Lecture 9: Hard-Sphere Monte Carlo In-Class Simulation

19 Feb 2008 | Teaching Materials | Contributor(s): Elif Ertekin, Jeffrey C Grossman

In this lecture we carry out simulations in-class, with guidance from the instructors. We use the HSMC tool (within the nanoHUB simulation toolkit for this course). The hard sphere system is one of …

https://nanohub.org/resources/4067

Consistent Parameter Set for an Ensemble Monte Carlo Simulation of 4H-SiC

01 Jul 2008 | Publications | Contributor(s): Dragica Vasileska

A consistent parameter set is presented for Ensemble Monte Carlo simulation that simultaneously reproduces the experimental low-field and high-field characteristic transport parameters of 4H SiC.D. …

https://nanohub.org/resources/4845

demons

31 Oct 2006 | Tools | Contributor(s): M. E. Klausmeier-Brown, C. M. Maziar, P. E. Dodd, M. A. Stettler, Xufeng Wang, Gerhard Klimeck

Improved program consists of DEMON and SDEMON

https://nanohub.org/resources/1934