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Overview of Computational Nanoscience: a UC Berkeley Course

Computational Nanoscience, Lecture 9: Hard-Sphere Monte Carlo In-Class Simulation

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Last 12 Months: updated 01 Oct, 2008
Users: 100
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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

In this lecture we carry out simulations in-class, with guidance from the instructors. We use the HSMC tool (within the nanoHUB simulation toolkit for this course). The hard sphere system is one of the simplest systems which exhibits an order-disorder phase transition, which we will explore with Monte Carlo simulations.

Credits Nanoscale Science and Engineering C242/Physics C203 University of California, Berkeley
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If you reference this work in a publication, please cite as follows:

  • Ertekin, Elif; Grossman, Jeffrey C (2008), "Computational Nanoscience, Lecture 9: Hard-Sphere Monte Carlo In-Class Simulation," http://www.nanohub.org/resources/4067/.

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

    Posted on 10 March, 2008 by Anonymous

See also

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  • 9.6 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  (4)
    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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