4 citations · 5 across the 2 of their papers we have counts for
3 papers
physics.comp-ph2023★ 1 cited
TensorMD: Scalable Tensor-Diagram based Machine Learning Interatomic Potential on Heterogeneous Many-Core Processors
Xin Chen, Yucheng Ouyang, Zhenchuan Chen +7
Molecular dynamics simulations have emerged as a potent tool for investigating the physical properties and kinetic behaviors of materials at the atomic scale, particularly in extre…
quant-ph2022★ 4 cited
Large-Scale Simulation of Quantum Computational Chemistry on a New Sunway Supercomputer
Honghui Shang, Li Shen, Yi Fan +11
Quantum computational chemistry (QCC) is the use of quantum computers to solve problems in computational quantum chemistry. We develop a high performance variational quantum eigens…
cond-mat.str-el2021
Bridging the Gap between Deep Learning and Frustrated Quantum Spin System for Extreme-scale Simulations on New Generation of Sunway Supercomputer
Mingfan Li, Junshi Chen, Qian Xiao +7
Efficient numerical methods are promising tools for delivering unique insights into the fascinating properties of physics, such as the highly frustrated quantum many-body systems.…