Surrogate modeling for fluid flows based on physics-constrained deep learning without simulation data L Sun, H Gao, S Pan, JX Wang Computer Methods in Applied Mechanics and Engineering 361, 112732, 2020 | 715 | 2020 |
Thermal runaway of lithium-ion batteries without internal short circuit X Liu, D Ren, H Hsu, X Feng, GL Xu, M Zhuang, H Gao, L Lu, X Han, ... Joule 2 (10), 2047-2064, 2018 | 552 | 2018 |
PhyGeoNet: Physics-informed geometry-adaptive convolutional neural networks for solving parameterized steady-state PDEs on irregular domain H Gao, L Sun, JX Wang Journal of Computational Physics 428, 110079, 2021 | 426 | 2021 |
Building ultraconformal protective layers on both secondary and primary particles of layered lithium transition metal oxide cathodes GL Xu, Q Liu, KKS Lau, Y Liu, X Liu, H Gao, X Zhou, M Zhuang, Y Ren, ... Nature Energy 4 (6), 484-494, 2019 | 409 | 2019 |
Proton-conducting polymer electrolytes and their applications in solid supercapacitors: a review H Gao, K Lian RSC advances 4 (62), 33091-33113, 2014 | 357 | 2014 |
Super-resolution and denoising of fluid flow using physics-informed convolutional neural networks without high-resolution labels H Gao, L Sun, JX Wang Physics of Fluids 33 (7), 2021 | 166 | 2021 |
Revealing the rate-limiting Li-ion diffusion pathway in ultrathick electrodes for Li-ion batteries H Gao, Q Wu, Y Hu, JP Zheng, K Amine, Z Chen The journal of physical chemistry letters 9 (17), 5100-5104, 2018 | 163 | 2018 |
Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems H Gao, MJ Zahr, JX Wang Computer Methods in Applied Mechanics and Engineering 390, 114502, 2022 | 151 | 2022 |
Parasitic reactions in nanosized silicon anodes for lithium-ion batteries H Gao, L Xiao, I Plümel, GL Xu, Y Ren, X Zuo, Y Liu, C Schulz, ... Nano Letters 17 (3), 1512-1519, 2017 | 150 | 2017 |
Surface modification for suppressing interfacial parasitic reactions of a nickel-rich lithium-ion cathode H Gao, J Cai, GL Xu, L Li, Y Ren, X Meng, K Amine, Z Chen Chemistry of materials 31 (8), 2723-2730, 2019 | 132 | 2019 |
Solid-state electric double layer capacitors for ac line-filtering H Gao, J Li, JR Miller, RA Outlaw, S Butler, K Lian Energy Storage Materials 4, 66-70, 2016 | 109* | 2016 |
High rate all-solid electrochemical capacitors using proton conducting polymer electrolytes H Gao, K Lian Journal of Power Sources 196 (20), 8855-8857, 2011 | 87 | 2011 |
Predicting physics in mesh-reduced space with temporal attention X Han, H Gao, T Pfaff, JX Wang, LP Liu arXiv preprint arXiv:2201.09113, 2022 | 76 | 2022 |
Solid‐State Lithium/Selenium–Sulfur Chemistry Enabled via a Robust Solid‐Electrolyte Interphase GL Xu, H Sun, C Luo, L Estevez, M Zhuang, H Gao, R Amine, H Wang, ... Advanced Energy Materials 9 (2), 1802235, 2019 | 75 | 2019 |
Alkaline quaternary ammonium hydroxides and their polymer electrolytes for electrochemical capacitors H Gao, J Li, K Lian RSC Advances 4 (41), 21332-21339, 2014 | 67 | 2014 |
Mechanistic study of electrolyte additives to stabilize high-voltage cathode–electrolyte interface in lithium-ion batteries H Gao, F Maglia, P Lamp, K Amine, Z Chen ACS applied materials & interfaces 9 (51), 44542-44549, 2017 | 59 | 2017 |
SSR-VFD: Spatial super-resolution for vector field data analysis and visualization L Guo, S Ye, J Han, H Zheng, H Gao, DZ Chen, JX Wang, C Wang Proceedings of IEEE Pacific visualization symposium, 2020 | 57 | 2020 |
Modifying the surface of a high-voltage lithium-ion cathode H Gao, X Zeng, Y Hu, V Tileli, L Li, Y Ren, X Meng, F Maglia, P Lamp, ... ACS Applied Energy Materials 1 (5), 2254-2260, 2018 | 53 | 2018 |
Characterizations of proton conducting polymer electrolytes for electrochemical capacitors H Gao, K Lian Electrochimica Acta 56 (1), 122-127, 2010 | 49 | 2010 |
Non-intrusive model reduction of large-scale, nonlinear dynamical systems using deep learning H Gao, JX Wang, MJ Zahr Physica D: Nonlinear Phenomena 412, 132614, 2020 | 46 | 2020 |