1 citations · 3 across the 3 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-sci2020★ 1 cited
Ubiquitous topological states of phonons in solids: Silicon as a model material
Yizhou Liu, Nianlong Zou, Sibo Zhao +3
Research on topological physics of phonons has attracted enormous interest but demands appropriate model materials. Our {\it ab initio} calculations identify silicon as an ideal ca…