activity
20202026
most citedDeePMD-kit v2: A software package for Deep Potential models

596 citations · 809 across the 11 of their papers we have counts for

collaborators

11 papers

physics.comp-ph2026

AI-accelerated metallized -bonding screening for superconductor discovery

Zechen Tang, Wen-Han Dong, Baochun Wu +11

The computational discovery of phonon-mediated superconductors is hindered by the prohibitive cost of density functional perturbation theory (DFPT). Here, guided by the metallized…

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…

astro-ph.EP2023★ 12 cited

Thermal conductivity of MgO in giant planetary interior conditions predicted by deep potential

Rong Qiu, Qiyu Zeng, Ke Chen +2

Thermal conductivity of MgO plays a fundamental role in understanding the thermal evolution and mantle convection in the interior of terrestrial planets. However, previous theo…

physics.comp-ph2023★ 22 cited

Full-scale ab initio simulations of laser-driven atomistic dynamics

Qiyu Zeng, Bo Chen, Shen Zhang +4

The coupling of excited states and ionic dynamics is the basic and challenging point for the materials response at extreme conditions. In laboratory, the intense laser produces tra…

physics.chem-ph2023★ 596 cited

DeePMD-kit v2: A software package for Deep Potential models

Jinzhe Zeng, Duo Zhang, Denghui Lu +44

DeePMD-kit is a powerful open-source software package that facilitates molecular dynamics simulations using machine learning potentials (MLP) known as Deep Potential (DP) models. T…

cond-mat.mes-hall2022★ 30 cited

Non-Hermitian skin effect edge

Qi-Bo Zeng

Non-Hermitian skin effect (NHSE) is a unique phenomenon studied intensively in non-Hermitian systems during the past few years. In this work, we discuss the energy dependence of NH…

astro-ph.EP2022★ 2 cited

Three-step Formation of Diamonds in Shock-compressed Hydrocarbons: Decomposition, Species Separation, and Nucleation

Bo Chen, Qiyu Zeng, Xiaoxiang Yu +4

The accumulation and circulation of carbon-hydrogen dictate the chemical evolution of ice giant planets. Species separation and diamond precipitation have been reported in carbon-h…

physics.comp-ph2022★ 17 cited

Towards Large-Scale and Spatio-temporally Resolved Diagnosis of Electronic Density of States by Deep Learning

Qiyu Zeng, Bo Chen, Xiaoxiang Yu +4

Modern laboratory techniques like ultrafast laser excitation and shock compression can bring matter into highly nonequilibrium states with complex structural transformation, metall…

physics.comp-ph2020★ 11 cited

Reduced Ionic Diffusion by the Dynamic Electron-Ion Collisions in Warm Dense Hydrogen

Yunpeng Yao, Qiyu Zeng, Ke Chen +4

The dynamic electron-ion collisions play an important rolein determining the static and transport properties of warmdense matter (WDM). Electron force field (eFF) method is applied…

cond-mat.mtrl-sci2020★ 6 cited

Atomistic Mechanism of Phase Transition in Shock Compressed Gold Revealed by Deep Potential

Bo Chen, Qiyu Zeng, Han Wang +4

A detailed understanding of the material response to rapid compression is challenging and demanding. For instance, the element gold under dynamic compression exhibits complex phase…