| Title
A single sentence description.
|
A hybrid neural network model driver for multilayer two-dimensional materials developed by Wen and Tadmor (2019) v000 |
|---|---|
| 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.
|
None |
| Contributor |
Mingjian Wen |
| Maintainer |
Mingjian Wen |
| Published on KIM | 2019 |
| How to Cite | Click here to download this citation in BibTeX format. |
| Funding | Not available |
| Short KIM ID
The unique KIM identifier code.
| MD_435082866799_000 |
| 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_000 |
| DOI |
10.25950/d9783ee5 https://doi.org/10.25950/d9783ee5 https://commons.datacite.org/doi.org/10.25950/d9783ee5 |
| 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 |
| hNN__MD_435082866799_000.txz | Tar+XZ | Linux and OS X archive |
| hNN__MD_435082866799_000.zip | Zip | Windows archive |