1 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.LG2021★ 1 cited
Heterogeneous relational message passing networks for molecular dynamics simulations
Zun Wang, Chong Wang, Sibo Zhao +5
With many frameworks based on message passing neural networks proposed to predict molecular and bulk properties, machine learning methods have tremendously shifted the paradigms of…
physics.comp-ph2021★ 1 cited
Symmetry-adapted graph neural networks for constructing molecular dynamics force fields
Zun Wang, Chong Wang, Sibo Zhao +4
Molecular dynamics is a powerful simulation tool to explore material properties. Most of the realistic material systems are too large to be simulated with first-principles molecula…
cond-mat.mtrl-sci2018
Intrinsic magnetic topological insulators in van der Waals layered MnBiTe-family materials
Jiaheng Li, Yang Li, Shiqiao Du +6
The interplay of magnetism and topology is a key research subject in condensed matter physics and material science, which offers great opportunities to explore emerging new physics…