100 citations · 234 across the 8 of their papers we have counts for
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physics.chem-ph2018
Adaptive coupling of a deep neural network potential to a classical force field
Linfeng Zhang, Han Wang, Weinan E
An adaptive modeling method (AMM) that couples a deep neural network potential and a classical force field is introduced to address the accuracy-efficiency dilemma faced by the mol…
physics.chem-ph2018
DeePCG: constructing coarse-grained models via deep neural networks
Linfeng Zhang, Jiequn Han, Han Wang +2
We introduce a general framework for constructing coarse-grained potential models without ad hoc approximations such as limiting the potential to two- and/or three-body contributio…