activity
20192025
most citedDeePMD-kit v2: A software package for Deep Potential models

596 citations · 917 across the 14 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

physics.comp-ph2022★ 14 cited

Hybrid Auxiliary Field Quantum Monte Carlo for Molecular Systems

Yixiao Chen, Linfeng Zhang, Weinan E +1

We propose a quantum Monte Carlo approach to solve the ground state many-body Schrodinger equation for the electronic ground state. The method combines optimization from variationa…

cond-mat.dis-nn2022★ 57 cited

Topology of vibrational modes predict plastic events in glasses

Zhen Wei Wu, Yixiao Chen, Wei-Hua Wang +2

The plastic deformation of crystalline materials can be understood by considering their structural defects such as disclinations and dislocations. Although glasses are also solids,…

physics.chem-ph2022★ 17 cited

DeePKS+ABACUS as a Bridge between Expensive Quantum Mechanical Models and Machine Learning Potentials

Wenfei Li, Qi Ou, Yixiao Chen +9

Recently, the development of machine learning (ML) potentials has made it possible to perform large-scale and long-time molecular simulations with the accuracy of quantum mechanica…

cond-mat.mtrl-sci2022★ 2 cited

Ab Initio bulk free energy surface of proper ferroelectrics

Pinchen Xie, Yixiao Chen, Xinyu Xu +3

We report a systematic and accurate approach for deriving the bulk free energy surface (FES), a function of temperature, polarization, and strain, from the first-principles density…

cs.DC2022★ 41 cited

Extending the limit of molecular dynamics with ab initio accuracy to 10 billion atoms

Zhuoqiang Guo, Denghui Lu, Yujin Yan +11

High-performance computing, together with a neural network model trained from data generated with first-principles methods, has greatly boosted applications of \textit{ab initio} m…