| Physics-informed neural networks (PINNs) for fluid mechanics: A review S Cai, Z Mao, Z Wang, M Yin, GE Karniadakis Acta Mechanica Sinica 37 (12), 1727-1738, 2021 | 901 | 2021 |
| Physics-informed neural networks for heat transfer problems S Cai, Z Wang, S Wang, P Perdikaris, GE Karniadakis Journal of Heat Transfer 143 (6), 060801, 2021 | 638 | 2021 |
| Physics-informed neural networks with hard constraints for inverse design L Lu, R Pestourie, W Yao, Z Wang, F Verdugo, SG Johnson SIAM Journal on Scientific Computing 43 (6), B1105-B1132, 2021 | 446 | 2021 |
| Deep learning of vortex-induced vibrations M Raissi, Z Wang, MS Triantafyllou, GE Karniadakis Journal of Fluid Mechanics 861, 119-137, 2019 | 435 | 2019 |
| Flow over an espresso cup: inferring 3-D velocity and pressure fields from tomographic background oriented Schlieren via physics-informed neural networks S Cai, Z Wang, F Fuest, YJ Jeon, C Gray, GE Karniadakis Journal of Fluid Mechanics 915, A102, 2021 | 220 | 2021 |
| DeepM&Mnet: Inferring the electroconvection multiphysics fields based on operator approximation by neural networks S Cai, Z Wang, L Lu, TA Zaki, GE Karniadakis Journal of Computational Physics 436, 110296, 2021 | 217 | 2021 |
| Reinforcement learning for bluff body active flow control in experiments and simulations D Fan, L Yang, Z Wang, MS Triantafyllou, GE Karniadakis Proceedings of the National Academy of Sciences 117 (42), 26091-26098, 2020 | 190 | 2020 |
| Mapping the properties of the vortex-induced vibrations of flexible cylinders in uniform oncoming flow D Fan, Z Wang, MS Triantafyllou, GE Karniadakis Journal of Fluid Mechanics 881, 815-858, 2019 | 74 | 2019 |
| Forecasting solar-thermal systems performance under transient operation using a data-driven machine learning approach based on the deep operator network architecture JD Osorio, Z Wang, G Karniadakis, S Cai, C Chryssostomidis, M Panwar, ... Energy Conversion and Management 252, 115063, 2022 | 40 | 2022 |
| Illuminating the complex role of the added mass during vortex induced vibration Z Wang, D Fan, MS Triantafyllou Physics of Fluids 33 (8), 2021 | 38 | 2021 |
| A large-eddy simulation study on the similarity between free vibrations of a flexible cylinder and forced vibrations of a rigid cylinder Z Wang, D Fan, MS Triantafyllou, GE Karniadakis Journal of Fluids and Structures 101, 103223, 2021 | 37 | 2021 |
| Active-and transfer-learning applied to microscale-macroscale coupling to simulate viscoelastic flows L Zhao, Z Li, Z Wang, B Caswell, J Ouyang, GE Karniadakis Journal of Computational Physics 427, 110069, 2021 | 30 | 2021 |
| A fast multi-fidelity method with uncertainty quantification for complex data correlations: Application to vortex-induced vibrations of marine risers X Meng, Z Wang, D Fan, MS Triantafyllou, GE Karniadakis Computer Methods in Applied Mechanics and Engineering 386, 114212, 2021 | 27 | 2021 |
| Heat transfer prediction with unknown thermal boundary conditions using physics-informed neural networks S Cai, Z Wang, C Chryssostomidis, GE Karniadakis Fluids Engineering Division Summer Meeting 83730, V003T05A054, 2020 | 24 | 2020 |
| A phase-field method for boiling heat transfer Z Wang, X Zheng, C Chryssostomidis, GE Karniadakis Journal of Computational Physics 435, 110239, 2021 | 23 | 2021 |
| An entropy-viscosity large eddy simulation study of turbulent flow in a flexible pipe Z Wang, MS Triantafyllou, Y Constantinides, GE Karniadakis Journal of Fluid Mechanics 859, 691-730, 2019 | 20 | 2019 |
| Inferring vortex induced vibrations of flexible cylinders using physics-informed neural networks E Kharazmi, D Fan, Z Wang, MS Triantafyllou Journal of Fluids and Structures 107, 103367, 2021 | 19 | 2021 |
| Similarity solutions for flows and heat transfer in microchannels between two parallel plates ZC Wang, DW Tang, XG Hu International Journal of Heat and Mass Transfer 54 (11-12), 2349-2354, 2011 | 17 | 2011 |
| A stabilized phase-field method for two-phase flow at high Reynolds number and large density/viscosity ratio Z Wang, S Dong, MS Triantafyllou, Y Constantinides, GE Karniadakis Journal of Computational Physics 397, 108832, 2019 | 15 | 2019 |
| An artificial viscosity augmented physics-informed neural network for incompressible flow Y He, Z Wang, H Xiang, X Jiang, D Tang Applied Mathematics and Mechanics 44 (7), 1101-1110, 2023 | 14 | 2023 |
George Em KarniadakisThe Charles Pitts Robinson and John Palmer Barstow Professor of Applied Mathematics and Engineering在 brown.edu 的电子邮件经过验证
