| 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 | 2276 | 2021 |
| NSFnets (Navier-Stokes flow nets): Physics-informed neural networks for the incompressible Navier-Stokes equations X Jin, S Cai, H Li, GE Karniadakis Journal of Computational Physics 426, 109951, 2021 | 1474 | 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 | 1380 | 2021 |
| A comprehensive and fair comparison of two neural operators (with practical extensions) based on fair data L Lu, X Meng, S Cai, Z Mao, S Goswami, Z Zhang, GE Karniadakis Computer Methods in Applied Mechanics and Engineering 393, 114778, 2022 | 677 | 2022 |
| 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 | 407 | 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 | 329 | 2021 |
| Dense motion estimation of particle images via a convolutional neural network S Cai, S Zhou, C Xu, Q Gao Experiments in Fluids 60 (4), 73, 2019 | 246 | 2019 |
| Operator learning for predicting multiscale bubble growth dynamics C Lin, Z Li, L Lu, S Cai, M Maxey, GE Karniadakis The Journal of Chemical Physics 154 (10), 2021 | 210 | 2021 |
| Particle image velocimetry based on a deep learning motion estimator S Cai, J Liang, Q Gao, C Xu, R Wei IEEE Transactions on Instrumentation and Measurement 69 (6), 3538-3554, 2019 | 203 | 2019 |
| Artificial intelligence velocimetry and microaneurysm-on-a-chip for three-dimensional analysis of blood flow in physiology and disease S Cai, H Li, F Zheng, F Kong, M Dao, GE Karniadakis, S Suresh Proceedings of the National Academy of Sciences 118 (13), e2100697118, 2021 | 140 | 2021 |
| Motion estimation under location uncertainty for turbulent fluid flows S Cai, E Mémin, P Dérian, C Xu Experiments in Fluids 59 (1), 8, 2018 | 80 | 2018 |
| Artificial intelligence velocimetry reveals in vivo flow rates, pressure gradients, and shear stresses in murine perivascular flows KAS Boster, S Cai, A Ladrón-de-Guevara, J Sun, X Zheng, T Du, ... Proceedings of the National Academy of Sciences 120 (14), e2217744120, 2023 | 68 | 2023 |
| 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 | 64 | 2022 |
| 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 | 47 | 2020 |
| Physics-informed neural networks enhanced particle tracking velocimetry: An example for turbulent jet flow S Cai, C Gray, GE Karniadakis IEEE Transactions on Instrumentation and Measurement 73, 1-9, 2024 | 44 | 2024 |
| AOSLO-net: a deep learning-based method for automatic segmentation of retinal microaneurysms from adaptive optics scanning laser ophthalmoscopy images Q Zhang, K Sampani, M Xu, S Cai, Y Deng, H Li, JK Sun, GE Karniadakis Translational vision science & technology 11 (8), 7-7, 2022 | 37 | 2022 |
| Recurrent graph optimal transport for learning 3D flow motion in particle tracking J Liang, C Xu, S Cai Nature Machine Intelligence 5 (5), 505-517, 2023 | 35* | 2023 |
| Accelerated optimization in deep learning with a proportional-integral-derivative controller S Chen, J Liu, P Wang, C Xu, S Cai, J Chu Nature Communications 15 (1), 10263, 2024 | 30 | 2024 |
| Computational investigation of blood cell transport in retinal microaneurysms H Li, Y Deng, K Sampani, S Cai, Z Li, JK Sun, GE Karniadakis PLoS Computational Biology 18 (1), e1009728, 2022 | 26 | 2022 |
| DeepPTV: Particle tracking velocimetry for complex flow motion via deep neural networks J Liang, S Cai, C Xu, T Chen, J Chu IEEE Transactions on Instrumentation and Measurement 71, 1-16, 2021 | 26 | 2021 |
George Em KarniadakisThe Charles Pitts Robinson and John Palmer Barstow Professor of Applied Mathematics and EngineeringVerified email at brown.edu
