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Journal of Chemical Theory and Computation|June 30, 2025
A Deep Learning Framework for the Electronic Structure of Water: Toward a Universal ModelXinyuan Liang, Renxi Liu, Mohan ChenThe Journal of Chemical Physics|July 15, 2022
Structural and dynamic properties of solvated hydroxide and hydronium ions in water from ab initio modelingRenxi Liu, Chunyi Zhang, Xinyuan Liang, et al.The Journal of Chemical Physics|August 21, 2023
Implementation of the meta-GGA exchange-correlation functional in numerical atomic orbital basis: With systematic testing on SCAN, rSCAN, and r2SCAN functionalsRenxi Liu, Daye Zheng, Xinyuan Liang, et al.Journal of Chemical Theory and Computation|August 3, 2023
Characterization of the Hydrogen-Bond Network in High-Pressure Water by Deep Potential Molecular DynamicsRenxi Liu, Mohan ChenPhysical Chemistry Chemical Physics : PCCP|December 15, 2022
Solvation structures of calcium and magnesium ions in water with the presence of hydroxide: a study by deep potential molecular dynamicsJianchuan Liu, Renxi Liu, Yu Cao, et al.Science Advances|May 27, 2026
Understanding the density maximum of water with machine-learned potentialsYizhi Song, Renxi Liu, Chunyi Zhang, et al.The Journal of Physical Chemistry. A|December 1, 2022
DeePKS + ABACUS as a Bridge between Expensive Quantum Mechanical Models and Machine Learning PotentialsWenfei Li, Qi Ou, Yixiao Chen, et al.Cognitive Neurodynamics|November 13, 2008
New stability criteria for uncertain neural networks with interval time-varying delaysHaixia Wu, Wei Feng, Xinyuan LiangPlants (Basel, Switzerland)|April 12, 2025
Understory Vegetation Regulated the Soil Stoichiometry in Cold-Temperate Larch ForestsRuihan Xiao, Xinyuan Liang, Beixing DuanMikrochimica Acta|August 4, 2020
Photoelectrochemical immunoassay platform based on MoS2 nanosheets integrated with gold nanostars for neuron-specific enolase assayRenxi Liu, Yanying Wang, Wingleung Wong, et al.Pageof 11