受强制性开放获取政策约束的文章 - Mao Su了解详情
无法在其他位置公开访问的文章：2 篇
Atomic origins of water-vapour-promoted alloy oxidation
L Luo, M Su, P Yan, L Zou, DK Schreiber, DR Baer, Z Zhu, G Zhou, ...
Nature materials 17 (6), 514-518, 2018
强制性开放获取政策： US Department of Energy
Exploring large-lattice-mismatched interfaces with neural network potentials: the case of the CdS/CdTe heterostructure
M Su, JH Yang, ZP Liu, XG Gong
The Journal of Physical Chemistry C 126 (31), 13366-13372, 2022
强制性开放获取政策： 国家自然科学基金委员会
可在其他位置公开访问的文章：7 篇
Real-time mass spectrometric characterization of the solid–electrolyte interphase of a lithium-ion battery
Y Zhou, M Su, X Yu, Y Zhang, JG Wang, X Ren, R Cao, W Xu, DR Baer, ...
Nature nanotechnology 15 (3), 224-230, 2020
强制性开放获取政策： US Department of Energy
Investigation of ion–solvent interactions in nonaqueous electrolytes using in situ liquid SIMS
Y Zhang, M Su, X Yu, Y Zhou, J Wang, R Cao, W Xu, C Wang, DR Baer, ...
Analytical chemistry 90 (5), 3341-3348, 2018
强制性开放获取政策： US Department of Energy, 国家自然科学基金委员会
Transferable equivariant graph neural networks for the Hamiltonians of molecules and solids
Y Zhong, H Yu, M Su, X Gong, H Xiang
npj Computational Materials 9 (1), 182, 2023
强制性开放获取政策： 国家自然科学基金委员会
A brief review of continuous models for ionic solutions: the Poisson–Boltzmann and related theories
M Su, Y Wang
Communications in Theoretical Physics 72 (6), 067601, 2020
强制性开放获取政策： 中国科学院, 国家自然科学基金委员会
Efficient determination of the Hamiltonian and electronic properties using graph neural network with complete local coordinates
M Su, JH Yang, HJ Xiang, XG Gong
Machine Learning: Science and Technology 4 (3), 035010, 2023
强制性开放获取政策： 国家自然科学基金委员会
Poisson–Boltzmann theory with non-linear ion correlations
M Su, Z Xu, Y Wang
Journal of Physics: Condensed Matter 31 (35), 355101, 2019
强制性开放获取政策： US Department of Energy, 国家自然科学基金委员会
Efficient determination of the Hamiltonian and electronic properties using graph neural network
X Gong, M Su, J Yang, H Xiang
强制性开放获取政策： 国家自然科学基金委员会
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