Ying, Penghua

1. NEP-MB-pol: A unified machine-learned framework for fast and accurate prediction of water's thermodynamic and transport properties
   2024/11/14 by Ting Liang, Xu, Ke, Liang, Ting +12 · 7 citations
   Materials Science · #Chemical Physics (physics.chem-ph) #FOS: Physical sciences #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #Soft Condensed Matter (cond-mat.soft) #Statistical Mechanics (cond-mat.stat-mech)
2. NEP89: Universal neuroevolution potential for inorganic and organic materials across 89 elements
   2025/04/30 by Liang, Ting, Xu, Ke, Lindgren, Eric +16 · 7 citations
   #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci)
3. AlphaNet: Scaling Up Local-frame-based Atomistic Interatomic Potential
   2025/01/13 by Yin, Bangchen, Wang, Jiaao, Du, Weitao +9 · 4 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
4. Accurate Modeling of Interfacial Thermal Transport in van der Waals Heterostructures via Hybrid Machine Learning and Registry-Dependent Potentials
   2025/05/01 by Wenwu Jiang, Hekai Bu, Jiang, Wenwu +11 · 2 citations
   #physics.comp-ph