activity
20232026
most citedDeePMD-kit v3: A Multiple-Backend Framework for Machine Learning Potentials

100 citations · 137 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat.mtrl-sci2026

Deformation mechanisms and compressive response of NbTaTiZr alloy via machine learning potentials

Hongyang Liu, Bo Chen, Rong Chen +2

Refractory multi-principal element alloys (MPEAs) are key research focus for excellent high-temp properties and engineering potential. Deformation mechanisms/mechanical behaviors o…

physics.chem-ph2025★ 100 cited

DeePMD-kit v3: A Multiple-Backend Framework for Machine Learning Potentials

Jinzhe Zeng, Duo Zhang, Anyang Peng +44

In recent years, machine learning potentials (MLPs) have become indispensable tools in physics, chemistry, and materials science, driving the development of software packages for m…

physics.comp-ph2025★ 13 cited

Picosecond-scale Heterogeneous Melting of Metals at Extreme Non-equilibrium States

Qiyu Zeng, Xiaoxiang Yu, Bo Chen +4

Extreme electron-ion non-equilibrium states, generated by ultrafast laser excitation, lead to melting processes that are fundamentally different from those under conventional therm…

physics.comp-ph2023★ 24 cited

Theoretical evidence of H-He demixing under Jupiter and Saturn conditions

Xiaoju Chang, Bo Chen, Qiyu Zeng +12

The immiscibility of hydrogen-helium mixture under the temperature and pressure conditions of planetary interiors is crucial for understanding the structures of gas giant planets (…

physics.comp-ph2023

Anomalous thermal transport across the superionic transition in ice

Rong Qiu, Qiyu Zeng, Han Wang +3

Superionic ices with highly mobile protons within the stable oxygen sub-lattice occupy an important proportion of the phase diagram of ice and widely exist in the interior of icy g…