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QWalk Quantum Monte Carlo Tutorial

This resource has a 8.6 Ranking

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Usage Stats
Overall Period: Updated 14 Oct, 2008
Users: 155
Jobs: 1124
Avg. exec. time: 3 mins
Reviews & Citations
Google/IEEE
Avg. Review: 5.0 out of 5 stars
Citations: 0

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Version 1.2.1 - published on 18 Apr, 2008
Contributor(s) Lucas Wagner, Jeffrey C Grossman
University of California, Berkeley

Jeffrey B. Neaton
Molecular Foundry, Lawrence Berkeley National Laboratory
At a glance Quantum Monte Carlo methods solve the Schrodinger equation for many electrons to high accuracy--exactly in some cases. In most implementations, it also has favorable scaling with system size, approximately the same as mean-field theories like density functional theory, although with a larger prefactor. This allows us to obtain accurate ground and excited state energies for realistic chemical systems. Quantities such as binding energies, reaction barriers, and band gaps are accurately simulated ...
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Description

Quantum Monte Carlo methods solve the Schrodinger equation for many electrons to high accuracy--exactly in some cases. In most implementations, it also has favorable scaling with system size, approximately the same as mean-field theories like density functional theory, although with a larger prefactor. This allows us to obtain accurate ground and excited state energies for realistic chemical systems. Quantities such as binding energies, reaction barriers, and band gaps are accurately simulated using QMC methods.

This tool provides a convenient way to learn about and compare the most common QMC methods: Variational Monte Carlo and Diffusion Monte Carlo. It uses as a backend QWalk, an open-source program that implements several QMC methods.


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  • QWalk developed in the Mitas group at North Carolina State University.
  • References
  • Quantum Monte Carlo on wikipedia.org
  • The basics of quantum Monte Carlo
  • Cite this work

    If you reference this work in a publication, please cite as follows:

    • Wagner, Lucas; Grossman, Jeffrey C; Neaton, Jeffrey B. (2007), "QWalk Quantum Monte Carlo Tutorial," doi: 10254/nanohub-r2814.5.

      BibTex | EndNote

    In addition, we would appreciate it if you would add the following acknowledgment to your publication:

    • Simulation services for results presented here were provided by the Network for Computational Nanotechnology (NCN) at nanoHUB.org

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    1. 5.0 out of 5 stars 

      Posted on 15 May, 2008 by Anonymous

    2. 5.0 out of 5 stars 

      Posted on 18 June, 2007 by Anonymous

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