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Overview of Computational Nanoscience: a UC Berkeley Course

Computational Nanoscience, Lecture 1: Introduction to Computational Nanoscience

This resource has a 10.0 Ranking

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Last 12 Months: updated 01 Oct, 2008
Users: 86
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Avg. Review: 5.0 out of 5 stars
Citations: 0

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

In this lecture, we present a historical overview of computational science. We describe modeling and simulation as forms of "theoretical experiments" and "experimental theory". We also discuss nanoscience: "what makes nano nano?", as well as public perceptions of nanoscience and the "grey goo" phenomenon. Finally, we describe the process of setting up a computer experiment: choosing your model, making relevant assumptions, and interpreting your resutls.

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  • Grossman, Jeffrey C; Ertekin, Elif (2008), "Computational Nanoscience, Lecture 1: Introduction to Computational Nanoscience," http://www.nanohub.org/resources/4045/.

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Date posted 15 Feb, 2008
Type Teaching Materials
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  1. 5.0 out of 5 stars 

    Posted on 28 February, 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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