132 citations · 295 across the 11 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
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★ 39 cited
Universal interatomic potential for perovskite oxides
Jing Wu, Jiyuan Yang, Yuan-Jinsheng Liu +5
With their celebrated structural and chemical flexibility, perovskite oxides have served as a highly adaptable material platform for exploring emergent phenomena arising from the i…
cond-mat.mtrl-sci2023★ 48 cited
Modular development of deep potential for complex solid solutions
Jing Wu, Jiyuan Yang, Liyang Ma +2
The multicomponent oxide solid solution is a versatile platform to tune the delicate balance between competing spin, charge, orbital, and lattice degrees of freedom for materials d…