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.

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  1. 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 tri-gate FINFET. I have access to Silvaco atlas. Do anybody has experience on 3D monter carlo in Silvac Atlas. I...

    https://nanohub.org/answers/question/822

  2. 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

  3. 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 steady-state velocity-field characteristics of arbitrary materials such as Si, Ge, GaAs,...

    https://nanohub.org/resources/11425

  4. 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 path-integral 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. From Semi-Classical to Quantum Transport Modeling: Particle-Based 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 quantum-mechanically. An in-depth description is...

    https://nanohub.org/resources/7214

  11. 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,...

    https://nanohub.org/resources/6935

  12. 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

  13. Archimedes, GNU Monte Carlo simulator

    01 Apr 2009 | Tools | Contributor(s): Jean Michel D Sellier

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

    https://nanohub.org/resources/archimedes

  14. 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

  15. Homework Assignment for Bulk Monte Carlo Lab: Velocity vs. Field for Arbitrary Crystallographic Orientations

    22 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

  16. Homework Assignment for Bulk Monte Carlo Lab: Arbitrary Crystallographic Direction

    21 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

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

    https://nanohub.org/resources/4843

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

    02 Jul 2008 | Papers | 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...

    https://nanohub.org/resources/4845

  19. 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...

    https://nanohub.org/resources/4564

  20. 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...

    https://nanohub.org/resources/4566