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Musen Zhou
Musen Zhou
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Title
Cited by
Cited by
Year
Membrane-confined liquid-liquid phase separation toward artificial organelles
W Mu, Z Ji, M Zhou, J Wu, Y Lin, Y Qiao
Science advances 7 (22), eabf9000, 2021
1002021
Insights from machine learning of carbon electrodes for electric double layer capacitors
M Zhou, A Gallegos, K Liu, S Dai, J Wu
Carbon 157, 147-152, 2020
882020
Toward the inverse design of MOF membranes for efficient D2/H2 separation by combination of physics-based and data-driven modeling
M Zhou, A Vassallo, J Wu
Journal of Membrane Science 598, 117675, 2020
452020
Data-Driven Approach to Understanding the In-Operando Performance of Heteroatom-Doped Carbon Electrodes
M Zhou, A Vassallo, J Wu
ACS Applied Energy Materials 3 (6), 5993-6000, 2020
352020
Regulating lithium deposition via electropolymerization of acrylonitrile in rechargeable lithium metal batteries
J Zhang, M Zhou, J Shi, Y Zhao, X Wen, CC Su, J Wu, J Guo
Nano Energy 88, 106298, 2021
242021
Virtual screening of nanoporous materials for noble gas separation
J Wang, M Zhou, D Lu, W Fei, J Wu
ACS Applied Nano Materials 5 (3), 3701-3711, 2022
152022
A GPU implementation of classical density functional theory for rapid prediction of gas adsorption in nanoporous materials
M Zhou, J Wu
The Journal of Chemical Physics 153 (7), 2020
132020
Computational screening and design of nanoporous membranes for efficient carbon isotope separation
J Wang, M Zhou, D Lu, W Fei, J Wu
Green Energy & Environment 5 (3), 364-373, 2020
132020
Massively parallel GPU-accelerated string method for fast and accurate prediction of molecular diffusivity in nanoporous materials
M Zhou, J Wu
ACS Applied Nano Materials 4 (5), 5394-5403, 2021
72021
Fractionation of isotopic methanes with metal–organic frameworks
M Zhou, Y Tian, W Fei, J Wu
The Journal of Physical Chemistry C 123 (12), 7397-7407, 2019
72019
Hydrophilicity effect on CO2/CH4 separation using carbon nanotube membranes: insights from molecular simulation
W Cao, L Lu, M Zhou, GM Tow, L Huang, T Yang, X Lu
Molecular Simulation 43 (7), 502-509, 2017
72017
Machine-learning-assisted material discovery of oxygen-rich highly porous carbon active materials for aqueous supercapacitors
T Wang, R Pan, ML Martins, J Cui, Z Huang, BP Thapaliya, CL Do-Thanh, ...
Nature communications 14 (1), 4607, 2023
62023
Predicting the materials properties using a 3d graph neural network with invariant representation
B Zhang, M Zhou, J Wu, F Gao
IEEE Access 10, 62440-62449, 2022
62022
Efficient force field and energy emulation through partition of permutationally equivalent atoms
H Li, M Zhou, J Sebastian, J Wu, M Gu
The Journal of Chemical Physics 156 (18), 2022
62022
Superstructural ordering in self-sorting coacervate-based protocell networks
W Mu, L Jia, M Zhou, J Wu, Y Lin, S Mann, Y Qiao
Nature Chemistry 16 (2), 158-167, 2024
52024
Inverse design of metal–organic frameworks for C2H4/C2H6 separation
M Zhou, J Wu
npj Computational Materials 8 (1), 256, 2022
42022
Mechanistic insights of pore contributions in carbon supercapacitors by modified step potential electrochemical spectroscopy
T Wang, RL Sacci, J Liang, CL Do-Thanh, J Fan, H Chen, Y Sun, ...
Journal of the Electrochemical Society 168 (6), 060530, 2021
42021
The effect of surface wrinkles on the properties of water in graphene slit pores
M Zhou, S Li, L Lu, W Cao, S Wang, W Xie
Molecular Simulation 46 (8), 604-615, 2020
42020
Modeling multicomponent gas adsorption in nanoporous materials with two versions of nonlocal classical density functional theory
M Zhou, J Wang, J Garcia, Y Liu, J Wu
Industrial & Engineering Chemistry Research 60 (47), 17016-17025, 2021
32021
A comprehensive transformer-based approach for high-accuracy gas adsorption predictions in metal-organic frameworks
J Wang, J Liu, H Wang, M Zhou, G Ke, L Zhang, J Wu, Z Gao, D Lu
Nature Communications 15 (1), 1904, 2024
12024
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Articles 1–20