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 | 11 | 2023 |
Physics-informed machine learning for moving load problems T Kapoor, H Wang, A Núñez, R Dollevoet Eurodyn 2023, Date: 2023/07/02-2023/07/05, Location: Delft, The Netherlands, 2023 | 4 | 2023 |
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 | 3 | 2024 |
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 | 2 | 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 | 2 | 2022 |
Neural oscillators for magnetic hysteresis modeling A Chandra*, T Kapoor*, B Daniels, M Curti, K Tiels, DM Tartakovsky, ... arXiv preprint arXiv:2308.12002, 2023 | 1 | 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 | | 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 |
Physics Informed Neural Networks (PINNs) for Fully Nonlinear High-Dimensional PDEs T Kapoor ETH Zurich, 2021 | | 2021 |