Tags: Monte Carlo

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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.

Tools (1-20 of 23)

  1. Solving the 2D Ising Model

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

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

  2. Monte Carlo Electron Dynamics

    0.0 out of 5 stars 

    Tools | 21 Aug 2008 | Contributor(s):: Shaikh S. Ahmed, Zichang Zhang, Khadija Abul Khair, Sharnali Islam, Mohammad Zunaidur Rashid

    Simulates non-stationary electron transport in emerging semiconductors using Monte Carlo approach. Models how particle distribution function evolves in time and allows the user to extract velocity-field and mobility characteristics.

  3. Monte Carlo HEMT Simulator

    0.0 out of 5 stars 

    Tools | 30 Aug 2019 | Contributor(s):: Shaikh S. Ahmed, Mohammad Zunaidur Rashid, Khadija Abul Khair

    Simulates the current-voltage (I-V) and related characteristics of a nitride-based HEMT device using the 3-D particle-based Monte Carlo approach.

  4. MIT Atomic-Scale Modeling Toolkit

    4.5 out of 5 stars 

    Tools | 15 Jan 2008 | Contributor(s):: David A Strubbe, Enrique Guerrero, daniel richards, Elif Ertekin, Jeffrey C Grossman, Justin Riley

    Tools for Atomic-Scale Modeling

  5. Gibbs Adsorption Simulator

    0.0 out of 5 stars 

    Tools | 23 Sep 2019 | Contributor(s):: Julian C Umeh, Thomas A Manz

    Simulates the adsorption of gases using Gibbs ensemble

  6. Mixed Gas Diffusion Calculator

    0.0 out of 5 stars 

    Tools | 25 Jun 2019 | Contributor(s):: Julian C Umeh, Thomas A Manz

    Simulates the diffusion of a gas mixture onto a metal organic framework

  7. Mixed Gas Adsorption Calculator

    0.0 out of 5 stars 

    Tools | 21 Jun 2019 | Contributor(s):: Julian C Umeh, Thomas A Manz

    This tool calculated the average adsorption of a gas mixture

  8. VLE Simulator

    0.0 out of 5 stars 

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

    Simulates the vapor liquid equilibrium of the first five Alkanes

  9. Gas Adsorption Calculator

    0.0 out of 5 stars 

    Tools | 07 Mar 2019 | Contributor(s):: Julian C Umeh, Thomas A Manz

    Simulates gas adsorption onto metal organic frameworks

  10. Composite Filament Simulation 3D

    5.0 out of 5 stars 

    Tools | 06 Aug 2018 | Contributor(s):: Zachary Yun, Michelle Zhang, Ganesh Vurimi, Hayden Taylor, Sixian Jia

    Simulate electrical properties of a nanowire composite filament.

  11. ZENO

    0.0 out of 5 stars 

    Tools | 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

  12. Bulk Heterojunction Morphology Generator

    0.0 out of 5 stars 

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

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

  13. Exciton Dynamics Simulator

    0.0 out of 5 stars 

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

    Simulates the exciton dynamics in organic photovolatic devices

  14. Archimedes, GNU Monte Carlo simulator

    0.0 out of 5 stars 

    Tools | 29 May 2008 | Contributor(s):: Jean Michel D Sellier

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

  15. Bulk Monte Carlo Lab

    3.0 out of 5 stars 

    Tools | 27 Apr 2008 | Contributor(s):: Dragica Vasileska, Mark Lundstrom, Stephen M. Goodnick, Gerhard Klimeck

    This tool calculates the bulk values of the carrier drift velocity and average electron energy in any material in which the conduction band is represented by a three valley model. Examples include Si, Ge and GaAs.

  16. Spin Coupled Quantum Dots

    0.0 out of 5 stars 

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

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

  17. biomoca

    4.5 out of 5 stars 

    Tools | 30 May 2006 | Contributor(s):: Reza Toghraee, Umberto Ravaioli

    Ion channel simulator

  18. BioMOCA Suite

    4.0 out of 5 stars 

    Tools | 04 Feb 2008 | Contributor(s):: David Papke, Reza Toghraee, Umberto Ravaioli, Ankit Raj

    Simulates ion flow through a channel.

  19. Path Integral Monte Carlo

    0.0 out of 5 stars 

    Tools | 13 Dec 2007 | Contributor(s):: John Shumway, Matthew Gilbert

    Tool Description

  20. QWalk Quantum Monte Carlo Tutorial

    5.0 out of 5 stars 

    Tools | 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