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 (81-100 of 101)

  1. Physics and Simulation of Quasi-Ballistic Transport in Nanoscale Transistors

    28 Jun 2013 | | Contributor(s):: Jung-Hoon Rhew

    The formidable progress in microelectronics in the last decade has pushed thechannel length of MOSFETs into decanano scale and the speed of BJTs into hundreds of gigahertz. This progress imposes new challenges on device simulation as the essential physics of carrier transport departs that of...

  2. Practical Introduction to the BioMOCA Suite

    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...

  3. PREPRINT: Molecular Modeling of the Microstructure Evolution during the Carbonization of PAN-Based Carbon Fibers

    23 Mar 2017 | | Contributor(s):: Alejandro Strachan, Saaketh Desai

    PREPRINTDevelopment of high strength carbon fibers (CFs) requires an understanding of the relationship between the processing conditions, microstructure and resulting properties. We developed a molecular model that combines kinetic Monte Carlo (KMC) and molecular dynamics (MD) techniques to...

  4. QuaMC2D

    13 Mar 2006 | | Contributor(s):: Shaikh S. Ahmed, Dragica Vasileska

    Quantum-corrected Monte-Carlo electron transport simulator for two-dimensional MOSFET devices.

  5. Quantum and Thermal Effects in Nanoscale Devices

    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...

  6. QWalk Quantum Monte Carlo Tutorial

    15 Jun 2007 | | Contributor(s):: Lucas Wagner, Jeffrey C Grossman, Jeffrey B. Neaton, Ian Michael Rousseau

    An accurate method to calculate the many body ground state of electrons

  7. Review of Several Quantum Solvers and Applications

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

    Review of Several Quantum Solvers and Applications

  8. SCALE Electronics, Photonics, and Space, Oh My! - An Introduction to the EPICA Program

    02 Jan 2024 | | Contributor(s):: Hannah Dattilo

  9. Sensitivity Analysis of Multiscale Reaction Networks with Stochastic Averaging

    21 Jan 2016 | | 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 establish bounds which show the bias induced by the averaging method decays to zero as the disparity...

  10. 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.

  11. Solving the 2D Ising Model

    20 Jul 2022 | | Contributor(s):: Ava Hallberg, George Maxwell Nishibuchi, Kat Nykiel, Alejandro Strachan

    Using Markov Chain Monte Carlo Method to visualize magnetism via Ising Model

  12. Spin Coupled Quantum Dots

    09 Jul 2008 | | Contributor(s):: John Shumway, Matthew Gilbert

    Path integral calculation of exchange coupling of spins in neighboring quantum dots.

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

    16 Dec 2015 | | 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 scaled devices and new structures the quantum mechanical confinement based IRS models are essential....

  14. Teaching and Learning with the MIT Atomic Scale Modeling Toolkit's Classical and Quantum Atomic Modeling Applications

    21 Dec 2022 | | Contributor(s):: Enrique Guerrero

     We will perform molecular dynamics computations using LAMMPS, simple Monte Carlo simulations including the Ising model, and run quantum chemistry and density functional theory computations.

  15. Test for Monte Carlo Learning Module

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

    this is a test for the MC Learning Module.

  16. The Basics of Quantum Monte Carlo

    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...

  17. VLE Simulator

    10 Jun 2019 | | Contributor(s):: Julian C Umeh, Thomas A Manz

    Simulates the vapor liquid equilibrium of the first five Alkanes

  18. ZENO

    16 Nov 2016 | | Contributor(s):: Derek Juba, Debra Audus, Michael Mascagni, Jack Douglas, Walid Keyrouz

    Calculation of hydrodynamic, electrical, and shape properties of polymer and particle suspensions

  19. [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...

  20. [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...