Application of First-Principles-Based Artificial Neural Network Potentials to Multiscale-Shock Dynamics Simulations on Solid Materials

The journal of physical chemistry letters, pp. 4536-4541, 2020.

Cited by: 0|Bibtex|Views6|DOI:https://doi.org/10.1021/acs.jpclett.0c00637
WOS
Other Links: pubmed.ncbi.nlm.nih.gov|academic.microsoft.com

Abstract:

Artificial neural-network (ANN) potential trained with first-principles calculations have emerged as a promising approach for molecular dynamics (MD) simulations encompassing large space and time scales while retaining first-principles accuracy. However, the application of ANN-MD has thus far been limited to near-equilibrium processes. He...More

Code:

Data:

Your rating :
0

 

Tags
Comments