MIT Atomic-Scale Modeling Toolkit

By David Strubbe1; Enrique Guerrero1; Daniel Richards2; Elif Ertekin3; Jeffrey C Grossman4; Justin Riley5

1. University of California, Merced 2. University of California, Berkeley 3. University of Illinois at Urbana-Champaign 4. Massachusetts Institute of Technology 5. Massachusetts Institute of Technology (MIT)

Tools for Atomic-Scale Modeling

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Version 5.10 - published on 11 Dec 2023

doi:10.21981/P4KR-ZH89 cite this

This tool is closed source.

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  1. 1 Dislike

    Anonymous

    3.0 out of 5 stars

    This tool implements many useful programs in one place, which is very useful for learning. However, it is pretty buggy and poorly documented, which makes learning difficult. A bit more work fixing bugs, making it more stable, documenting input parameters, and adding a few other features would make this tool an incredibly useful educational resource. Right now it is 80% there, which makes it both tantalizing and frustrating.

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    1. Tanya Faltens

      Can you help identify the bugs that need to be fixed?  This would be very helpful.  You can include screenshots and upload via the support: tickets or help links a the top of the nanoHUB page.

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    2. Tanya Faltens

      The tool has been upgraded and additional documentation and exercises added!  Take a look in the Supporting Docs tab.

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  2. 0 Dislike

    Keith Ray

    5.0 out of 5 stars

    A great way to test drive and learn about a variety of computational methods.

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  3. 0 Dislike

    Anonymous

    5.0 out of 5 stars

    This is a fantastic tool to help me, a materials scientist, become acquainted with computational tools. As a materials scientist, I am constantly crippled by my complete and utter lack of unique skills. I recoil in horror at mathematical equations that do not have simple analytical solutions. A big day for me would be solving Poisson\‘s equation with simple boundary equations. This tool gives me a glimpse into the life of the more apt physicists and mathematicians. I am now comfortable saying things like, \“well obviously monte carlo techniques can not exhibit any of the dymanical behavior you are studying. Duh.\” Only would I say this to other materials scientists. I mean actual materials scientists, not physicists or chemists who entered the field after obtaining useful skills. I am afraid of these people.

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  4. 0 Dislike

    Anonymous

    5.0 out of 5 stars

    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.

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  5. 0 Like 0 Dislike

    Anonymous

    5.0 out of 5 stars

    This tool made my dreams come true!!

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    Anonymous

    5.0 out of 5 stars

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    Anonymous

    5.0 out of 5 stars

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  8. 0 Dislike

    Trevor Ewers

    5.0 out of 5 stars

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

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    Anonymous

    5.0 out of 5 stars

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  10. 0 Dislike

    David Strubbe

    5.0 out of 5 stars

    Convenient interfaces to a range of powerful codes.

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  11. 0 Dislike

    David Carlton

    5.0 out of 5 stars

    A technological and pedagogical tour-de-force.

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    Anonymous

    4.0 out of 5 stars

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    Jinbo Cao

    5.0 out of 5 stars

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    Anonymous

    5.0 out of 5 stars

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    Anonymous

    5.0 out of 5 stars

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    Anonymous

    5.0 out of 5 stars

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