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.|
A statement of applicability provided by the contributor, informing users of the intended use of this KIM Item.
|Published on KIM||2019|
|How to Cite||
This Model Driver originally published in  is archived in OpenKIM [2-4].
 Wen M, Tadmor EB. Hybrid neural network potential for multilayer graphene. Physical Review B. 2019;100(19):195419. doi:10.1103/PhysRevB.100.195419
 A hybrid neural network model driver for multilayer two-dimensional materials developed by Wen and Tadmor (2019) v001. OpenKIM; 2019. doi:10.25950/9fa4935a
 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
 Elliott RS, Tadmor EB. Knowledgebase of Interatomic Models (KIM) Application Programming Interface (API). OpenKIM; 2011. doi:10.25950/ff8f563aClick here to download the above citation in BibTeX format.
|Short KIM ID
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|Extended KIM ID
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|KIM Item Type||Model Driver|
|KIM API Version||2.0|
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