activity
20212025
most citedDPA-2: a large atomic model as a multi-task learner

132 citations · 173 across the 7 of their papers we have counts for

collaborators

7 papers

cond-mat.mtrl-sci2025★ 1 cited

ABACUS: An Electronic Structure Analysis Package for the AI Era

Weiqing Zhou, Daye Zheng, Qianrui Liu +55

ABACUS (Atomic-orbital Based Ab-initio Computation at USTC) is an open-source software for first-principles electronic structure calculations and molecular dynamics simulations. It…

cond-mat.soft2024

GMXPolymer: a generated polymerization algorithm based on GROMACS

Jianchuan Liu, Haiyan Lin, Xun Li

This work introduces a method for generating generalized structures of amorphous polymers using simulated polymerization and molecular dynamics equilibration, with a particular foc…

physics.chem-ph2023★ 132 cited

DPA-2: a large atomic model as a multi-task learner

Duo Zhang, Xinzijian Liu, Xiangyu Zhang +40

The rapid advancements in artificial intelligence (AI) are catalyzing transformative changes in atomic modeling, simulation, and design. AI-driven potential energy models have demo…

cond-mat.mtrl-sci2023

Machine-Learning-Based Interatomic Potentials for Group IIB to VIA Semiconductors: Towards a Universal Model

Jianchuan Liu, Xingchen Zhang, Tao Chen +4

Rapid advancements in machine-learning methods have led to the emergence of machine-learning-based interatomic potentials as a new cutting-edge tool for simulating large systems wi…

cond-mat.mtrl-sci2023★ 2 cited

A Spin-dependent Machine Learning Framework for Transition Metal Oxide Battery Cathode Materials

Taiping Hu, Teng Yang, Jianchuan Liu +9

Owing to the trade-off between the accuracy and efficiency, machine-learning-potentials (MLPs) have been widely applied in the battery materials science, enabling atomic-level dyna…

cond-mat.mtrl-sci2022★ 21 cited

Modeling the High-Pressure Solid and Liquid Phases of Tin from Deep Potentials with ab initio Accuracy

Tao Chen, Fengbo Yuan, Jianchuan Liu +4

Constructing an accurate atomistic model for the high-pressure phases of tin (Sn) is challenging because properties of Sn are sensitive to pressures. We develop machine-learning-ba…

physics.chem-ph2021★ 17 cited

Structural and Dynamic Properties of Solvated Hydroxide and Hydronium Ions in Water from Ab Initio Modeling

Renxi Liu, Chunyi Zhang, Xinyuan Liang +3

Predicting the asymmetric structure and dynamics of solvated hydroxide and hydronium in water has been a challenging task from ab initio molecular dynamics (AIMD). The difficulty m…