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.

Online Presentations (21-39 of 39)

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

    Online Presentations | 19 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

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

    Online Presentations | 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...

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

    Online Presentations | 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...

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

    Online Presentations | 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...

  5. ECE 656 Lecture 41: Transport in a Nutshell

    Online Presentations | 21 Feb 2012 | Contributor(s):: Mark Lundstrom

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

    Online Presentations | 21 Feb 2012 | Contributor(s):: Mark Lundstrom

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

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

    Online Presentations | 21 Feb 2012 | Contributor(s):: Mark Lundstrom

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

  8. ECE 656 Lecture 32: Balance Equation Approach III

    Online Presentations | 19 Jan 2012 | Contributor(s):: Mark Lundstrom

    Outline:Review of L31Carrier temperature and heat fluxHeterostructuresSummary

  9. Mesoscopic Simulations of Nitromethane

    Online Presentations | 22 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...

  10. Discussion about Ion Channels Using Reduced Model Approaches

    Online Presentations | 21 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.

  11. ECE 656 Lecture 31: Monte Carlo Simulation

    Online Presentations | 01 Dec 2009 | Contributor(s):: Mark Lundstrom

    Outline:IntroductionReview of carrier scatteringSimulating carrier trajectoriesFree flightCollisionUpdate after collisionPutting it all togetherSummary

  12. ECE 656 Lecture 30: Balance Equation Approach III

    Online Presentations | 01 Dec 2009 | Contributor(s):: Mark Lundstrom

    OutlineCarrier Temperature and Heat FluxBalance equations in 3DHeterostructuresSummary

  13. Illinois PHYS 466, Lecture 18: Kinetic Monte Carlo (KMC)

    Online Presentations | 04 May 2009 | Contributor(s):: David M. Ceperley, Omar N Sobh

  14. Quantum and Thermal Effects in Nanoscale Devices

    Online Presentations | 18 Sep 2008 | 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 self-consistent fields and the hydrodynamic equations for acoustic and optical phonons. The phonon...

  15. Molecular modeling of lipid bilayer edge and hybrid-MCMD method: Implementation and application

    Online Presentations | 29 Apr 2008 | Contributor(s):: Yong Jiang

    Introduction to mixed lipid systems, Hybrid Monte Carlo and MD (atomistic) algorithm for mixed lipid systems

  16. Practical Introduction to the BioMOCA Suite

    Online Presentations | 23 Apr 2008 | Contributor(s):: David Papke

    In this presentation, I describe how to use the online BioMOCA Suite. I explain how to prepare the .pqr input protein structure from a .pdb structure. I then explain in detail how to use each of the four subtools in the BioMOCA Suite.I do not cover in detail how the BioMOCA code works. If you are...

  17. The Basics of Quantum Monte Carlo

    Online Presentations | 15 Jun 2007 | Contributor(s):: Lucas Wagner, Jeffrey C Grossman, Jeffrey B. Neaton

    Quantum Monte Carlo is a highly accurate method to approximately solve the Schrodinger equation. I explain quantum Monte Carlo in a way that should be accessible to someone who is somewhat familiar with quantum mechanics. The discussion is mostly conceptual.Lucas Wagner is a postdoctoral...

  18. Materials Science on the Atomic Scale with the 3-D Atom Probe

    Online Presentations | 08 Nov 2006 | Contributor(s):: George D. W. Smith

    Some of the key goals of materials science and technology are to be able to design a material from first principles, to predict its behaviour, and also to optimise the processing route for its manufacture. In recent years, these goals have come closer to realisation, thanks in part to the...

  19. Review of Several Quantum Solvers and Applications

    Online Presentations | 11 Jun 2004 | Contributor(s):: Umberto Ravaioli

    Review of Several Quantum Solvers and Applications