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 (1-20 of 60)

  1. Multilevel Markov Chain Monte Carlo for Uncertainty Quantification in Subsurface Flow

    04 Feb 2016 | Online Presentations | Contributor(s): Christian Ketelsen

    The multilevel Monte Carlo method has been shown to be an effective variance reduction technique for quantifying uncertainty in subsurface flow simulations when the random conductivity field can...

    https://nanohub.org/resources/23518

  2. High Dimensional Uncertainty Quantification via Multilevel Monte Carlo

    04 Feb 2016 | Online Presentations | Contributor(s): Hillary Fairbanks

    Multilevel Monte Carlo (MLMC) has been shown to be a cost effective way to compute moments of desired quantities of interest in stochastic partial differential equations when the uncertainty in...

    https://nanohub.org/resources/23522

  3. Study of the Interface Roughness Models using 3D Finite Element Schrödinger Equation Corrected Monte Carlo Simulator on Nanoscaled FinFET

    25 Jan 2016 | Online Presentations | Contributor(s): Daniel Nagy, Muhammad Ali A. Elmessary, Manuel Aldegunde, Karol Kalna

    IWCE 2015 presentation.  Interface roughness scattering (IRS) is one of the key limiting scattering mechanism for both planar and non-planar CMOS devices. To predict the performance of future...

    https://nanohub.org/resources/23299

  4. Sensitivity Analysis of Multiscale Reaction Networks with Stochastic Averaging

    25 Jan 2016 | Online Presentations | Contributor(s): Araz Ryan Hashemi

    We shall show how stochastic averaging may be employed to speed computations and obtain estimates of mean values and sensitivities with respect to the steady state distribution. Further, we shall...

    https://nanohub.org/resources/23421

  5. 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)...

    https://nanohub.org/resources/23314

  6. 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...

    https://nanohub.org/resources/23041

  7. Lecture 3: The Wigner Monte Carlo Method for Density Functional Theory

    18 Nov 2014 | Online Presentations | Contributor(s): Jean Michel D Sellier

    In this lecture, Dr. Sellier discusses the Wigner Monte Carlo method in the framework of density functional theory (DFT).

    https://nanohub.org/resources/21700

  8. kinetic Monte Carlo Simulations (kMC)

    25 Mar 2014 | Presentation Materials | Contributor(s): Jingyuan Liang, R. Edwin Garcí­a, Ding-Wen Chung

    kMC is a set of scientific libraries designed to deploy kinetic Monte Carlo simulations (kMC). kMC allows the user to intuitively generate single component crystal lattices to simulate, post...

    https://nanohub.org/resources/20708

  9. 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...

    https://nanohub.org/resources/18742

  10. Exciton Dynamics Simulator

    12 Apr 2013 | Tools | Contributor(s): Michael Heiber

    Simulates the exciton dynamics in organic photovolatic devices

    https://nanohub.org/resources/exdynamics

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

    19 Feb 2013 | Online Presentations | Contributor(s): Muhammad Alam

    Outline: Background and Empirical Observations Theory of Hot Carriers: Hydrodynamic Model Theory of Hot Carriers: Monte Carlo Model Theory of Hot Carriers: Universal...

    https://nanohub.org/resources/16895

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

    19 Feb 2013 | Online Presentations | Contributor(s): Muhammad Alam

    Outline: Background and Empirical Observations Theory of Hot Carriers: Hydrodynamic Model Theory of Hot Carriers: Monte Carlo Model Theory of Hot Carriers: Universal...

    https://nanohub.org/resources/16896

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

    20 Nov 2012 | Online Presentations | 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...

    https://nanohub.org/resources/15919

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

    29 May 2012 | Online Presentations | 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,...

    https://nanohub.org/resources/14112

  15. ECE 656 Lecture 41: Transport in a Nutshell

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

    https://nanohub.org/resources/12717

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

    21 Feb 2012 | 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/12708

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

    21 Feb 2012 | 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/12709

  18. ECE 656 Lecture 32: Balance Equation Approach III

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

    Outline: Review of L31 Carrier temperature and heat flux Heterostructures Summary

    https://nanohub.org/resources/12706

  19. Discussion about Ion Channels Using Reduced Model Approaches

    21 Sep 2011 | Online Presentations | 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.

    https://nanohub.org/resources/12120

  20. Test for Monte Carlo Learning Module

    30 Jul 2011 | Teaching Materials | Contributor(s): Dragica Vasileska, Gerhard Klimeck

    this is a test for the MC Learning Module.

    https://nanohub.org/resources/11767