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Overview of Computational Nanoscience: a UC Berkeley Course

Computational Nanoscience, Lecture 20: Quantum Monte Carlo, part I

This resource has a 9.9 Ranking

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Last 12 Months: updated 01 Aug, 2008
Users: 30
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Avg. Review: 5.0 out of 5 stars
Citations: 0

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Contributor(s) Elif Ertekin, Jeffrey C Grossman
University of California, Berkeley
Abstract

This lecture provides and introduction to Quantum Monte Carlo methods. We review the concept of electron correlation and introduce Variational Monte Carlo methods as an approach to going beyond the mean field approximation. We describe briefly the Slater-Jastrow expansion of the wavefunction, and show how we can recover the some of the correlation energy using a variational approach to optimizing this form of the wavefunction.

Credits Lucas K. Wagner
University of California, Berkeley
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  • Ertekin, Elif; Grossman, Jeffrey C (2008), "Computational Nanoscience, Lecture 20: Quantum Monte Carlo, part I," http://www.nanohub.org/resources/4564/.

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Date posted 20 May, 2008
Type Teaching Materials
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  1. 5.0 out of 5 stars 

    Posted on 25 June, 2008 by Anonymous

See also

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  • 9.2 Ranking Courses Part of: Overview of Computational Nanoscience: a UC Berkeley Course

    Overview of Computational Nanoscience: a UC Berkeley Course

    Type Courses
    Contributor(s) Jeffrey C Grossman, Elif Ertekin
    Date 01 Feb, 2008
    Avg. Rating 5.0 out of 5 stars  (3)
    Rate this

    This course will provide students with the fundamentals of computational problem-solving techniques that are used to understand and predict properties of nanoscale systems. Emphasis will be placed on how to use simulations effectively, intelligently, and cohesively to predict properties that occur …

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