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The Journal of Chemical Physics|February 15, 2023
Machine learning assisted coarse-grained molecular dynamics modeling of meso-scale interfacial fluidsPei Ge, Linfeng Zhang, Huan LeiThe Journal of Chemical Physics|January 21, 2023
Data-driven construction of stochastic reduced dynamics encoded with non-Markovian featuresZhiyuan She, Pei Ge, Huan LeiPhysical Review Letters|August 30, 2024
Data-Driven Learning of the Generalized Langevin Equation with State-Dependent MemoryPei Ge, Zhongqiang Zhang, Huan LeiIEEE Transactions on Pattern Analysis and Machine Intelligence|August 1, 2023
Structured Knowledge Distillation for Accurate and Efficient Object DetectionLinfeng Zhang, Kaisheng MaAdvanced Science (Weinheim, Baden-Wurttemberg, Germany)|September 6, 2022
A Combination Therapy Using Electrical Stimulation and Adaptive, Conductive Hydrogels Loaded with Self-Assembled Nanogels Incorporating Short Interfering RNA Promotes the Repair of Diabetic Chronic WoundsHuan Lei, Daidi FanThe Journal of Chemical Physics|July 9, 2021
Petrov-Galerkin methods for the construction of non-Markovian dynamics preserving nonlocal statisticsHuan Lei, Xiantao LiPhysical Review Letters|November 13, 2023
Construction of Coarse-Grained Molecular Dynamics with Many-Body Non-Markovian MemoryLiyao Lyu, Huan LeiThe Journal of Chemical Physics|October 22, 2018
Adaptive coupling of a deep neural network potential to a classical force fieldLinfeng Zhang, Han Wang, Weinan EChemosphere|December 17, 2021
Sn-doped BiOI assisted the excellent photocatalytic performance of multi-shelled ZnO microspheres under simulated sunlightLinfeng Zhang, Xianghui Wu, Jianding LiScience Bulletin|December 22, 2022
Neural network representation of electronic structure from ab initio molecular dynamicsQiangqiang Gu, Linfeng Zhang, Ji FengPageof 49