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HAN LIU
HAN LIU
Associate Professor, Sichuan University (SCU, CHINA)
在 g.ucla.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Machine learning for glass science and engineering: A review
H Liu, Z Fu, K Yang, X Xu, M Bauchy
Journal of Non-Crystalline Solids: X 4, 100036, 2019
1382019
Predicting the dissolution kinetics of silicate glasses by topology-informed machine learning
H Liu, T Zhang, NM Anoop Krishnan, MM Smedskjaer, JV Ryan, S Gin, ...
Npj Materials Degradation 3 (1), 1-12, 2019
722019
Super-resolution fluorescence imaging of spatial organization of proteins and lipids in natural rubber
J Wu, W Qu, G Huang, S Wang, C Huang, H Liu
Biomacromolecules 18 (6), 1705-1712, 2017
552017
Research on architecture and composition of natural network in natural rubber
C Huang, G Huang, S Li, M Luo, H Liu, X Fu, W Qu, Z Xie, J Wu
Polymer 154, 90-100, 2018
492018
Effects of polydispersity and disorder on the mechanical properties of hydrated silicate gels
H Liu, S Dong, L Tang, NMA Krishnan, G Sant, M Bauchy
Journal of the Mechanics and Physics of Solids 122, 555-565, 2019
442019
Rapid inverse design of metamaterials based on prescribed mechanical behavior through machine learning
CS Ha, D Yao, Z Xu, C Liu, H Liu, D Elkins, M Kile, V Deshpande, Z Kong, ...
Nature Communications 14 (1), 5765, 2023
392023
A rheological study on non-rubber component networks in natural rubber
L Xu, C Huang, M Luo, W Qu, H Liu, Z Gu, L Jing, G Huang, J Zheng
Rsc Advances 5 (111), 91742-91750, 2015
392015
Topological optimization of cementitious binders: advances and challenges
H Liu, T Du, NMA Krishnan, H Li, M Bauchy
Cement and Concrete Composites 101, 5-14, 2019
382019
Predicting the early-stage creep dynamics of gels from their static structure by machine learning
H Liu, S Xiao, L Tang, E Bao, E Li, C Yang, Z Zhao, G Sant, ...
Acta Materialia 210, 116817, 2021
282021
The energy landscape governs ductility in disordered materials
L Tang, H Liu, G Ma, T Du, N Mousseau, W Zhou, M Bauchy
Materials Horizons 8 (4), 1242-1252, 2021
262021
Long-term creep deformations in colloidal calcium–silicate–hydrate gels by accelerated aging simulations
H Liu, S Dong, L Tang, NMA Krishnan, E Masoero, G Sant, M Bauchy
Journal of colloid and interface science 542, 339-346, 2019
232019
Predicting fracture propensity in amorphous alumina from its static structure using machine learning
T Du, H Liu, L Tang, SS Sørensen, M Bauchy, MM Smedskjaer
ACS nano 15 (11), 17705-17716, 2021
222021
Inhomogeneous natural network promoting strain-induced crystallization: a mesoscale model of natural rubber
H Liu, GS Huang, LY Wei, J Zeng, X Fu, C Huang, JR Wu
Chinese Journal of Polymer Science 37 (11), 1142-1151, 2019
222019
Balance between accuracy and simplicity in empirical forcefields for glass modeling: insights from machine learning
H Liu, Z Fu, Y Li, NFA Sabri, M Bauchy
Journal of Non-Crystalline Solids 515, 133-142, 2019
222019
Parameterization of empirical forcefields for glassy silica using machine learning
H Liu, Z Fu, Y Li, NFA Sabri, M Bauchy
MRS Communications 9 (2), 593-599, 2019
222019
Aging life prediction system of polymer outdoors constructed by ANN. 1. Lifetime prediction for polycarbonate
H Liu, M Zhou, Y Zhou, S Wang, G Li, L Jiang, Y Dan
Polymer degradation and stability 105, 218-236, 2014
212014
Exploring the landscape of Buckingham potentials for silica by machine learning: Soft vs hard interatomic forcefields
H Liu, Y Li, Z Fu, K Li, M Bauchy
The Journal of Chemical Physics 152 (5), 051101, 2020
162020
Precipitation of calcium–alumino–silicate–hydrate gels: The role of the internal stress
C Zhao, W Zhou, Q Zhou, Y Zhang, H Liu, G Sant, X Liu, L Guo, M Bauchy
The Journal of Chemical Physics 153 (1), 014501, 2020
152020
Machine learning forcefield for silicate glasses
H Liu, Z Fu, Y Li, NFA Sabri, M Bauchy
arXiv preprint arXiv:1902.03486, 2019
142019
Deconstructing water sorption isotherms in cement pastes by lattice density functional theory simulations
Y Zhang, H Liu, C Zhao, JW Ju, M Bauchy
Journal of the American Ceramic Society 104 (8), 4226-4238, 2021
132021
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