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hNN__MD_435082866799_001

Title
A single sentence description.
A hybrid neural network model driver for multilayer two-dimensional materials developed by Wen and Tadmor (2019) v001
Description A hybrid neural network (NN) and Lennard-Jones (LJ) model driver for multilayer two-dimensional materials. The NN term models short-range intralayer and orbital overlap interactions and the theoretically-motivated LJ term models long-range dispersion.
Disclaimer
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None
Contributor Mwen
Maintainer Mwen
Author Mingjian Wen
Publication Year 2019
Item Citation

This Model Driver originally published in [1] is archived in OpenKIM [2-4].

[1] Wen M, Tadmor EB. A hybrid neural network potential for multilayer graphene. Submitted. 2019;

[2] Wen M. A hybrid neural network model driver for multilayer two-dimensional materials developed by Wen and Tadmor (2019) v001. OpenKIM; 2019. doi:10.25950/9fa4935a

[3] Tadmor EB, Elliott RS, Sethna JP, Miller RE, Becker CA. The potential of atomistic simulations and the Knowledgebase of Interatomic Models. JOM. 2011;63(7):17. doi:10.1007/s11837-011-0102-6

[4] Elliott RS, Tadmor EB. Knowledgebase of Interatomic Models (KIM) Application Programming Interface (API). OpenKIM; 2011. doi:10.25950/ff8f563a

Click here to download the above citation in BibTeX format.
Short KIM ID
The unique KIM identifier code.
MD_435082866799_001
Extended KIM ID
The long form of the KIM ID including a human readable prefix (100 characters max), two underscores, and the Short KIM ID. Extended KIM IDs can only contain alpha-numeric characters (letters and digits) and underscores and must begin with a letter.
hNN__MD_435082866799_001
DOI 10.25950/9fa4935a
https://doi.org/10.25950/9fa4935a
https://search.datacite.org/works/10.25950/9fa4935a
KIM Item TypeModel Driver
KIM API Version2.0
Programming Language(s)
The programming languages used in the code and the percentage of the code written in each one.
97.72% C++
2.28% Shell
Previous Version hNN__MD_435082866799_000

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hNN_WenTadmor_2019Grx_C__MO_421038499185_001


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