| 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 | 767 | 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 | 749 | 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 | 546 | 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 | 282 | 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 | 208 | 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 | 194 | 2021 |
| Dense motion estimation of particle images via a convolutional neural network S Cai, S Zhou, C Xu, Q Gao Experiments in Fluids 60, 1-16, 2019 | 156 | 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 | 140 | 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 | 132 | 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 | 75 | 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 | 58 | 2018 |
| 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 | 35 | 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 | 21 | 2020 |
| 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 | 16 | 2022 |
| Dynamic illumination optical flow computing for sensing multiple mobile robots from a drone S Cai, Y Huang, B Ye, C Xu IEEE Transactions on Systems, Man, and Cybernetics: Systems 48 (8), 1370-1382, 2017 | 14 | 2017 |
| Filtering enhanced tomographic PIV reconstruction based on deep neural networks J Liang, S Cai, C Xu, J Chu IET Cyber‐Systems and Robotics 2 (1), 43-52, 2020 | 13 | 2020 |
| 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 | 12 | 2023 |
| 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 | 12 | 2022 |
| Deep-PIV: A new framework of PIV using deep learning techniques S Cai, J Liang, S Zhou, Q Gao, C Xu, R Wei, S Wereley, JS Kwon 13th International Symposium on Particle Image Velocimetry: ISPIV, 2019 | 11 | 2019 |
| 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 | 10 | 2021 |
