Superrepellency of underwater hierarchical structures on Salvinia leaf Y Xiang, S Huang, TY Huang, A Dong, D Cao, H Li, Y Xue, P Lv, H Duan Proceedings of the National Academy of Sciences 117 (5), 2282-2287, 2020 | 103 | 2020 |
Ultimate Stable Underwater Superhydrophobic State Y Xiang, S Huang, P Lv, Y Xue, Q Su, H Duan Physical Review Letters 119 (13), 134501, 2017 | 92 | 2017 |
Morphology evolution of liquid–gas interface on submerged solid structured surfaces S Huang, P Lv, H Duan Extreme Mechanics Letters 27, 34-51, 2019 | 43 | 2019 |
Variational Onsager Neural Networks (VONNs): A thermodynamics-based variational learning strategy for non-equilibrium PDEs S Huang, Z He, C Reina Journal of the Mechanics and Physics of Solids 163, 104856, 2022 | 41 | 2022 |
Three-dimensional backflow at liquid–gas interface induced by surfactant H Li, Z Li, X Tan, X Wang, S Huang, Y Xiang, P Lv, H Duan Journal of Fluid Mechanics 899, A8, 2020 | 40 | 2020 |
Receding dynamics of contact lines and size-dependent adhesion on microstructured hydrophobic surfaces D Li, Y Xue, P Lv, S Huang, H Lin, H Duan Soft matter 12 (18), 4257-4265, 2016 | 21 | 2016 |
Harnessing fluctuation theorems to discover free energy and dissipation potentials from non-equilibrium data S Huang, C Sun, PK Purohit, C Reina Journal of the Mechanics and Physics of Solids 149, 104323, 2021 | 4 | 2021 |
Predicting the unobserved: A statistical mechanics framework for non-equilibrium material response with quantified uncertainty S Huang, IR Graham, RA Riggleman, PE Arratia, S Fitzgerald, C Reina Journal of the Mechanics and Physics of Solids 161, 104779, 2022 | 1 | 2022 |
Statistical-Physics-Informed Neural Networks (Stat-PINNs): A Machine Learning Strategy for Coarse-graining Dissipative Dynamics S Huang, Z He, N Dirr, J Zimmer, C Reina arXiv preprint arXiv:2312.05810, 2023 | | 2023 |
From Particle Fluctuations to Macroscopic Evolution Equations: The Case of Exclusion Dynamics. S Huang, S Aguado-Montero, N Dirr, J Zimmer, C Reina MMSC, 140-152, 2020 | | 2020 |