
How to do 3D quantum monte carlo in Silvaco Atlas
Closed  Responses: 0
I am trying to simulation LER, RDF, variation of Fin height and fin thickness of trigate FINFET. I have access to Silvaco atlas. Do anybody has experience on 3D monter carlo in Silvac Atlas. I...
http://nanohub.org/answers/question/822

Anisotropic Schrödinger Equation Quantum Corrections for 3D Monte Carlo Simulations of Nanoscale Multigate Transistors
05 Jan 2016  Online Presentations  Contributor(s): Karol Kalna, Muhammad Ali A. Elmessary, Daniel Nagy, Manuel Aldegunde
IWCE 2015 presentation. We incorporated anisotropic 2D Schrodinger equation based quantum corrections (SEQC) that depends on valley orientation into a 3D Finite Element (FE) Monte Carlo (MC)...
http://nanohub.org/resources/23314

Archimedes, GNU Monte Carlo simulator
01 Apr 2009  Tools  Contributor(s): Jean Michel D Sellier
GNU Monte Carlo simulation of 2D semiconductor devices, IIIV materials
http://nanohub.org/resources/archimedes

Atomistic Modeling: Past, Present, and Future, MGI, ICME, etc.
03 Nov 2015  Online Presentations  Contributor(s): Paul Saxe
I will present a perspective on atomistic modeling — tools using quantum methods such as DFT, as well as molecular dynamics and Monte Carlo methods based on forcefields — over the past...
http://nanohub.org/resources/23041

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...
http://nanohub.org/resources/9253

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,...
http://nanohub.org/resources/6935

biomoca
14 Mar 2008  Tools  Contributor(s): Reza Toghraee, Umberto Ravaioli
Ion channel simulator
http://nanohub.org/resources/biomoca

BioMOCA Suite
14 Feb 2008  Tools  Contributor(s): David Papke, Reza Toghraee, Umberto Ravaioli, Ankit Raj
Simulates ion flow through a channel.
http://nanohub.org/resources/BMCsuite

Buddy Damm
I am interested in applying computational materials science tools to practicle issues in ferrous metallurgy in order to advance our understanding and applications of steels. My educational...
http://nanohub.org/members/56465

Bulk Monte Carlo Code Described
02 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...
http://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...
http://nanohub.org/resources/9109

Carbon Nanotube Electronics: Modeling, Physics, and Applications
28 Jun 2013  Papers  Contributor(s): Jing Guo
In recent years, significant progress in understanding the physics of carbon nanotube electronic devices and in identifying potential applications has occurred. In a nanotube, low bias transport...
http://nanohub.org/resources/18742

Computational Nanoscience, Homework Assignment 4: HardSphere 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) hardsphere systems and (2) Ising model of the ferromagneticparamagnetic phase transition in twodimensions. ...
http://nanohub.org/resources/4134

Computational Nanoscience, Lecture 10: Brief Review, Kinetic Monte Carlo, and Random Numbers
05 Mar 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...
http://nanohub.org/resources/4090

Computational Nanoscience, Lecture 20: Quantum Monte Carlo, part I
20 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...
http://nanohub.org/resources/4564

Computational Nanoscience, Lecture 21: Quantum Monte Carlo, part II
20 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...
http://nanohub.org/resources/4566

Computational Nanoscience, Lecture 27: Simulating Water and Examples in Computational Biology
20 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...
http://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 nonderivative methods are discussed, as well as the...
http://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...
http://nanohub.org/resources/4044

Computational Nanoscience, Lecture 8: Monte Carlo Simulation Part II
15 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...
http://nanohub.org/resources/4056