| Physics-informed neural networks for solving forward and inverse problems in complex beam systems T Kapoor, H Wang, A Nunez, R Dollevoet IEEE Transactions on Neural Networks and Learning Systems, 2023 | 54 | 2023 |
| Transfer learning for improved generalizability in causal physics-informed neural networks for beam simulations T Kapoor, H Wang, A Núñez, R Dollevoet Engineering Applications of Artificial Intelligence 133, 108085, 2024 | 17 | 2024 |
| Neural oscillators for generalization of physics-informed machine learning T Kapoor*, A Chandra*, DM Tartakovsky, H Wang, A Nunez, R Dollevoet Proceedings of the AAAI Conference on Artificial Intelligence 38 (12), 13059 …, 2024 | 10 | 2024 |
| Physics-informed machine learning for moving load problems T Kapoor, H Wang, A Núñez, R Dollevoet Journal of Physics: Conference Series, 2023 | 7 | 2023 |
| Neural oscillators for generalizing parametric PDEs T Kapoor, A Chandra, D Tartakovsky, H Wang, A Núñez, R Dollevoet NeurIPS 2023 Workshop: The Symbiosis of Deep Learning and Differential …, 2023 | 6 | 2023 |
| Neural oscillators for magnetic hysteresis modeling A Chandra*, T Kapoor*, B Daniels, M Curti, K Tiels, DM Tartakovsky, ... arXiv preprint arXiv:2308.12002, 2023 | 6 | 2023 |
| Predicting traction return current in electric railway systems through physics-informed neural networks T Kapoor, H Wang, A Núñez, R Dollevoet 2022 IEEE Symposium Series on Computational Intelligence (SSCI), 1460-1468, 2022 | 5 | 2022 |
| Solving partial differential equations with sampled neural networks C Datar, T Kapoor, A Chandra, Q Sun, I Burak, EL Bolager, A Veselovska, ... arXiv preprint arXiv:2405.20836, 2024 | 1 | 2024 |
| Physics Informed Neural Networks (PINNs) for Fully Nonlinear High-Dimensional PDEs T Kapoor ETH Zurich, 2021 | 1* | 2021 |
| Characterizing nonlinear piezoelectric dynamics through deep neural operator learning A Chandra, T Kapoor, M Curti, K Tiels, EA Lomonova Applied Physics Letters 125 (26), 2024 | | 2024 |
| Neural Differential Equation-Based Two-Stage Approach for Generalization of Beam Dynamics T Kapoor, H Wang, A Stamou, K El Sayed, A Núñez, DM Tartakovsky, ... IEEE Transactions on Industrial Informatics, 2024 | | 2024 |
| Physics-informed machine learning: from methods to beam structures T Kapoor TU Delft, 2024 | | 2024 |
| Gradient weighted physics-informed neural networks for capturing shocks in porous media flows S Kapoor, A Chandra, T Kapoor, M Curti NeurIPS 2023 Workshop: Machine Learning and the Physical Sciences, 2023 | | 2023 |
| Physics Informed Neural Networks for Approximating Fully Nonlinear PDEs T Kapoor, R Molinaro, S Mishra London Mathematical Society Workshop on the Mathematics of Deep Learning, 2022 | | 2022 |
| Backpropagation-free training of neural PDE solvers for time-dependent problems C Datar, T Kapoor, A Chandra, Q Sun, EL Bolager, I Burak, A Veselovska, ... | | |
Hongrui WangDepartment of Engineering Structures, Delft University of TechnologyPotvrđena adresa e-pošte na tudelft.nl
