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

    18 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.

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

    18 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).

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

    18 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.

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

    18 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.

  5. Bulk Heterojunction Morphology Generator

    11 Feb 2013 | | Contributor(s):: Michael C. Heiber

    This tool creates nanoscale bulk heterojunction morphologies for use with organic photovoltaics simulations

  6. kinetic Monte Carlo Simulations (kMC)

    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...

  7. Zhichao Yang

    https://nanohub.org/members/89859

  8. Device Physics Studies of III-V and Silicon MOSFETS for Digital Logic

    25 Jun 2013 | | Contributor(s):: Himadri Pal

    III-V's are currently gaining a lot of attraction as possible MOSFET channel materials due to their high intrinsic mobility. Several challenges, however, need to be overcome before III-V's can replace silicon (Si) in extremely scaled devices. The effect of low density-of-states of III-V materials...

  9. Physics and Simulation of Nanoscale Electronic and Thermoelectric Devices

    25 Jun 2013 | | Contributor(s):: raseong kim

    For the past few decades, transistors have been continuously scaled. Dimensions are now at the nanoscale, and device performance has dramatically improved. Nanotechnology is also achieving breakthroughs in thermoelectrics, which have suffered from low efficiencies for decades. As the device scale...

  10. Carbon Nanotube Electronics: Modeling, Physics, and Applications

    27 Jun 2013 | | 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 can be nearly ballistic across distances of several hundred nanometers. Deposition of high-k gate...

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

    27 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...

  12. Austin Iglesias Saragih

    Austin Saragih is an undergraduate student studying Industrial Engineering at Purdue University. He is a 2013 NCN Summer Undergraduate Research Fellow.

    https://nanohub.org/members/82369

  13. [Illinois] Molecular and Multiscale Simulation Summer School

    08 May 2013 | | Contributor(s):: NanoBio Node

    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...

  14. Magomed Alievich Magomedov

    https://nanohub.org/members/80865

  15. Exciton Dynamics Simulator

    31 Dec 2012 | | Contributor(s):: Michael Heiber

    Simulates the exciton dynamics in organic photovolatic devices

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

    18 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

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

    18 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

  18. Srinath Chakravarthy

    https://nanohub.org/members/77396

  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...