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Berkeley Computational Nanoscience Class Tools

This resource has a 9.8 Ranking

Ranking is calculated from a formula comprised of user reviews and usage statistics. Learn more ›

Usage Stats
Overall Period: Updated 29 Aug, 2008
Users: 255
Jobs: 9146
Avg. exec. time: 18 secs
Reviews & Citations
Google/IEEE
Avg. Review: 5.0 out of 5 stars
Citations: 0

255 users, detailed statistics

13 reviews (Review this)

0 citations

0 questions (Ask a question)

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This tool is closed source.

Available Versions

Version 1.8 - published on 02 Jun, 2008
Contributor(s) Joe Ringgenberg, daniel richards, Elif Ertekin, Jeffrey C Grossman
University of California, Berkeley
At a glance Tools for UC Berkeley Computational Nanoscience course, Spring 2008
Screenshots
  • Screenshot #1
  • Screenshot #2
Description

This toolkit complements the Berkeley Computational Nanoscience class lecture series.

This set of simulation tools has been developed for use with a course at U.C. Berkeley, taught by Elif Ertekin and Jeffrey Grossman, which provides students with the fundamentals of computational problem-solving techniques that are used to understand and predict properties of nanoscale systems. Emphasis is placed on how to use simulations effectively, intelligently, and cohesively to predict properties that occur at the nanoscale for real systems. The course is designed to present a broad overview of computational nanoscience and is therefore suitable for both experimental and theoretical researchers.

These tools will continue to be updated throughout the Spring term of 2008. When the course is completed, the following simulations will be run by the tool:

  1. Averages and Error Bars
  2. Molecular Dynamics (Lennard-Jones)
  3. Molecular Dynamics (LAMMPS)
  4. Monte Carlo (Hard Sphere)
  5. Monte Carlo (Ising Model)
  6. Quantum Chemistry (GAMESS)
  7. Density Functional Theory (Siesta)
  8. Quantum Monte Carlo (QWalk)

Any questions, comments, difficulties should be directed to Elif or Jeff.

Credits

Development Team: Daniel Richards, Josef Ringgenberg, Elif Ertekin, Jeff Grossman.

Cite this work

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

  • Ringgenberg, Joe; richards, daniel; Ertekin, Elif; Grossman, Jeffrey C (2008), "Berkeley Computational Nanoscience Class Tools," doi: 10254/nanohub-r3842.24.

    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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Citations

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Reviews

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  1. 5.0 out of 5 stars 

    Posted on 05 June, 2008 by Anonymous

    The value to my life increased after I began using this tool. With this new value and meaning, I have found my life's direction. And it is good. If the tool were a human being, I would marry it.

  2. 5.0 out of 5 stars 

    Posted on 18 May, 2008 by Anonymous

    This tool made my dreams come true!!

  3. 5.0 out of 5 stars 

    Posted on 15 May, 2008 by Anonymous

  4. 5.0 out of 5 stars 

    Posted on 10 May, 2008 by Anonymous

  5. 5.0 out of 5 stars 

    Posted on 01 May, 2008 by Trevor Ewers

    This program is a sensational tool that brings computational ease to the otherwise difficult task of simulating molecular interactions (even for the technologically inept).

  6. 5.0 out of 5 stars 

    Posted on 30 April, 2008 by Anonymous

  7. 5.0 out of 5 stars 

    Posted on 29 April, 2008 by David Strubbe

    Convenient interfaces to a range of powerful codes.

  8. 5.0 out of 5 stars 

    Posted on 29 April, 2008 by David Carlton

    A technological and pedagogical tour-de-force.

  9. 4.0 out of 5 stars 

    Posted on 25 April, 2008 by Anonymous

  10. 5.0 out of 5 stars 

    Posted on 05 February, 2008 by Jinbo Cao

  11. 5.0 out of 5 stars 

    Posted on 01 February, 2008 by Anonymous

  12. 5.0 out of 5 stars 

    Posted on 29 January, 2008 by Anonymous

  13. 5.0 out of 5 stars 

    Posted on 28 January, 2008 by Anonymous

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