Tags: Monte Carlo

Description

Monte Carlo methods are a class of computational algorithms that rely on repeated random sampling to compute their results. Monte Carlo methods are often used in simulating physical and mathematical systems. Because of their reliance on repeated computation of random or pseudo-random numbers, these methods are most suited to calculation by a computer and tend to be used when it is unfeasible or impossible to compute an exact result with a deterministic algorithm.

Learn more about quantum dots from the many resources on this site, listed below. More information on Monte Carlo method can be found here.

Resources (41-60 of 101)

  1. Exciton Dynamics Simulator

    31 Dec 2012 | | Contributor(s):: Michael Heiber

    Simulates the exciton dynamics in organic photovolatic devices

  2. ECE 695A Lecture 14a: Voltage Dependent HCI I

    18 Feb 2013 | | Contributor(s):: Muhammad Alam

    Outline:Background and Empirical ObservationsTheory of Hot Carriers: Hydrodynamic ModelTheory of Hot Carriers: Monte Carlo ModelTheory of Hot Carriers: Universal ScalingConclusionAppendices

  3. ECE 695A Lecture 14b: Voltage Dependent HCI II

    18 Feb 2013 | | Contributor(s):: Muhammad Alam

    Outline:Background and Empirical ObservationsTheory of Hot Carriers: Hydrodynamic ModelTheory of Hot Carriers: Monte Carlo ModelTheory of Hot Carriers: Universal ScalingConclusionAppendices

  4. [Illinois] Coarse-grained Simulation of Ion Channels

    29 Dec 2012 | | Contributor(s):: Umberto Ravaioli

    This Summer School will train students in molecular simulation and simulation at multiple time and length scales. Instruction will be provided on quantum Monte Carlo simulation, molecular dynamics, coarse-grained simulations, and multiscale simulations with opportunities for hands-on experience...

  5. [Illinois] CSE Seminar Series: Advances in First-principles Computational Materials Science

    20 Nov 2012 | | Contributor(s):: Elif Ertekin

    Title: Advances in first-principles computational materials science Subtitle: Things we can calculate now, that we couldn't when I was in grad school. The capability to rationally design new materials with tailored properties and functionality on a computer remains a grand challenge whose...

  6. Manual for Archimedes, the GNU Monte Carlo simulator

    23 Jun 2012 | | Contributor(s):: Jean Michel D Sellier

    Please, feel free to download the manual of Archimedes.Archimedes is the GNU package for semiconductor device simulations that has been released for the first time on 2005 under GPL. It has been created by Jean Michel D. Sellier who is, since then, the leader of the project and the main...

  7. Particle Simulations of Ion Generation and Transport in Microelectromechanical Systems and Micropropulsion

    29 May 2012 | | Contributor(s):: Venkattraman Ayyaswamy

    The first part of the talk deals with use of the PIC method with Monte Carlo collisions (MCC) between electrons and the ambient neutral gas to develop models to predict charge accumulation, breakdown voltage, etc. for various ambient gases, gap sizes, cathode material, and frequency of applied...

  8. ECE 656 Lecture 41: Transport in a Nutshell

    20 Dec 2011 | | Contributor(s):: Mark Lundstrom

  9. ECE 656 Lecture 34a: Monte Carlo Simulation I

    20 Dec 2011 | | Contributor(s):: Mark Lundstrom

    OutlineIntroductionReview of carrier scatteringSimulating carrier trajectoriesFree flightCollisionUpdate after collisionPutting it all togetherSummary

  10. ECE 656 Lecture 34b: Monte Carlo Simulation II

    20 Dec 2011 | | Contributor(s):: Mark Lundstrom

    OutlineIntroductionReview of carrier scatteringSimulating carrier trajectoriesFree flightCollisionUpdate after collisionPutting it all togetherSummary

  11. ECE 656 Lecture 32: Balance Equation Approach III

    20 Dec 2011 | | Contributor(s):: Mark Lundstrom

    Outline:Review of L31Carrier temperature and heat fluxHeterostructuresSummary

  12. Mesoscopic Simulations of Nitromethane

    12 Sep 2011 | | Contributor(s):: Jean-Bernard Maillet

    We present recent developments on the dissipative particle model that allow simulating the physico-chemical behavior of a molecular material at the mesoscale level. Several ingredients have been added to the previous model, in particular concerning the intermolecular force field and the...

  13. Discussion about Ion Channels Using Reduced Model Approaches

    20 Sep 2011 | | Contributor(s):: James Fonseca

    The seminar will cover the reasons how the channels are able to selectively permit the flow of certain species of ions while blocking other physiological cations.

  14. Test for Monte Carlo Learning Module

    29 Jul 2011 | | Contributor(s):: Dragica Vasileska, Gerhard Klimeck

    this is a test for the MC Learning Module.

  15. Monte Carlo and Path Integral Formulation

    28 Jun 2011 | | Contributor(s):: Dragica Vasileska

    This set of handwritten notes is part of the Semiconductor Transport class.

  16. Single Particle and Ensemble Monte Carlo Method

    28 Jun 2011 | | Contributor(s):: Dragica Vasileska

    This set of handwritten notes is part of the Semiconductor Transport class.

  17. Manual for the Generalized Bulk Monte Carlo Tool

    23 Jun 2011 | | Contributor(s):: Raghuraj Hathwar, Dragica Vasileska

    This manual describes the physics implemented behind the generalized bulk Monte Carlo tool.

  18. Generalized Monte Carlo Presentation

    17 Jun 2011 | | Contributor(s):: Dragica Vasileska

    This presentation goes along with the Bulk Monte Carlo tool on the nanoHUB that calculates transients and steady-state velocity-field characteristics of arbitrary materials such as Si, Ge, GaAs, GaN, SiC, etc. The tool employs a non-parabolic bandstructure.

  19. Monte Carlo Method and Its Applications

    29 Jan 2011 | | Contributor(s):: Dragica Vasileska

    This book chapter describes the solution of the Boltzmann transport equation via the MC method and it also presents its application of various types of devices simulations.

  20. High Field Transport and the Monte Carlo Method for the Solution of the Boltzmann Transport Equation

    21 Jul 2010 | | Contributor(s):: Dragica Vasileska

    This set of slides first describes the path-integral solution of the BTE and then discusses in details the Monte Carlo Method for the Solution of the Boltzmann Transport Equation.