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Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
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A Stochastic FE2 Data-Driven Method for Nonlinear Multiscale Modeling

Xiaoxin Lu1, Julien Yvonnet2, Leonidas Papadopoulos3

  • 1Shenzhen Institute of advanced electronic materials, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518103, China.

Materials (Basel, Switzerland)
|June 2, 2021
PubMed

Keywords:
data-drivenmultiscaleneural networksnonlinearstochastics

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