Title
A single sentence description.
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A hybrid neural network model driver for multilayer two-dimensional materials developed by Wen and Tadmor (2019) v001 |
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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
A statement of applicability provided by the contributor, informing users of the intended use of this KIM Item.
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None |
Contributor |
Mingjian Wen |
Maintainer |
Mingjian Wen |
Developer |
Mingjian Wen Ellad B. Tadmor |
Published on KIM | 2019 |
How to Cite |
This Model Driver originally published in [1] is archived in OpenKIM [2-4]. [1] Wen M, Tadmor EB. Hybrid neural network potential for multilayer graphene. Physical Review B. 2019;100(19):195419. doi:10.1103/PhysRevB.100.195419 [2] Wen M, Tadmor EB. 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. |
Funding | Not available |
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://commons.datacite.org/doi.org/10.25950/9fa4935a |
KIM Item Type | Model Driver |
KIM API Version | 2.0 |
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 |
hNN_WenTadmor_2019Grx_C__MO_421038499185_001 |
hNN__MD_435082866799_001.txz | Tar+XZ | Linux and OS X archive |
hNN__MD_435082866799_001.zip | Zip | Windows archive |