Tags: Monte Carlo

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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 102)

  1. Generalized Monte Carlo Presentation

    20 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.

  2. Gibbs Adsorption Simulator

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

    Simulates the adsorption of gases using Gibbs ensemble

  3. High Dimensional Uncertainty Quantification via Multilevel Monte Carlo

    Online Presentations | 04 Feb 2016 | 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 the data is high-dimensional. In this talk, we investigate the improved performance of MLMC versus...

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

    Teaching Materials | 23 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.

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

    0.0 out of 5 stars 

    Teaching Materials | 20 Aug 2008 | 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

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

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    Teaching Materials | 21 Aug 2008 | 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.

  7. Homework for Monte Carlo Method: High field transport in Bulk Si

    4.0 out of 5 stars 

    Teaching Materials | 06 Jan 2006 | Contributor(s):: Muhammad A. Alam

    This homework assignment is part of ECE 656 "Electronic Transport in Semiconductors" (Purdue University). It contains 10 problems which lead students through the simulation of high-field transport in bulk silicon.

  8. ICMEd 2016 Monte Carlo Simulation (Mark Asta)

    0.0 out of 5 stars 

    Presentation Materials | 13 Jan 2017 | Contributor(s):: Mark Asta, ICMEd Summer School

  9. Illinois MatSE485/Phys466/CSE485 - Atomic-Scale Simulation

    0.0 out of 5 stars 

    Courses | 27 Jan 2009 | Contributor(s):: David M. Ceperley

    THE OBJECTIVE is to learn and apply fundamental techniques used in (primarily classical) simulations in order to help understand and predict properties of microscopic systems in materials science, physics, chemistry, and biology. THE EMPHASIS will be on connections between the simulation...

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

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

  11. Illinois Tools: MOCA

    4.0 out of 5 stars 

    Tools | 28 Mar 2007 | Contributor(s):: Mohamed Mohamed, Umberto Ravaioli, Nahil Sobh, derrick kearney, Kyeong-hyun Park

    2D Full-band Monte Carlo (MOCA) Simulation for SOI-Based Device Structures

  12. IWCE 2004 Held at Purdue

    0.0 out of 5 stars 

    Workshops | 24 Oct 2004

    IEEE and NCN sponsored the 10th International Workshop of Computational Electronics at Purdue, October 24-27, with the theme "The field of Computational Electronics - Looking back and looking ahead."

  13. IWCN 2021: Computational Research of CMOS Channel Material Benchmarking for Future Technology Nodes: Missions, Learnings, and Remaining Challenges

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    Online Presentations | 13 Jul 2021 | Contributor(s):: raseong kim, Uygar Avci, Ian Alexander Young

    In this preentation, we review our journey of doing CMOS channel material benchmarking for future technology nodes. Through the comprehensive computational research for past several years, we have successfully projected the performance of various novel material CMOS based on rigorous physics...

  14. IWCN 2021: Effective Monte Carlo Simulator of Hole Transport in SiGe alloys

    0.0 out of 5 stars 

    Online Presentations | 21 Jul 2021 | Contributor(s):: Caroline dos Santos Soares, Alan Rossetto, Dragica Vasileska, Gilson Wirth

    In this work, an Ensemble Monte Carlo (EMC) transport simulator is presented for simulation of hole transport in SiGe alloys.

  15. kinetic Monte Carlo Simulations (kMC)

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    Presentation Materials | 25 Mar 2014 | 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 process, and visualize the kinetic Monte Carlo-based dynamics of materials.Philosophically, kMC was...

  16. Lecture 1: The Wigner Formulation of Quantum Mechanics

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    Online Presentations | 15 Nov 2014 | Contributor(s):: Jean Michel D Sellier

    In this lecture, Dr. Sellier discusses the Wigner formulation of Quantum Mechanics which is based on the concept of quasi-distributions defined over the phase-space.

  17. Lecture 2: The Wigner Monte Carlo Method for Single-Body Quantum Systems

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    Online Presentations | 15 Nov 2014 | Contributor(s):: Jean Michel D Sellier

    In this lecture, Dr. Sellier discusses the Wigner Monte Carlo method applied to single-body quantum systems.

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

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    Online Presentations | 15 Nov 2014 | 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).

  19. Lecture 4: The ab-initio Wigner Monte Carlo Method

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    Online Presentations | 15 Nov 2014 | Contributor(s):: Jean Michel D Sellier

    In this lecture, Dr. Sellier discusses the ab-initio Wigner Monte Carlo method for the simulation of strongly correlated systems.

  20. Lecture 5: Systems of Identical Fermions in the Wigner Formulation of Quantum Mechanics

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    Online Presentations | 15 Nov 2014 | Contributor(s):: Jean Michel D Sellier

    In this lecture, Dr. Sellier discusses about systems of indistinguishable Fermions in the Wigner formulation of quantum mechanics.