Learning the solution operator of parametric partial differential equations with physics-informed DeepONets S Wang, H Wang, P Perdikaris Science advances 7 (40), eabi8605, 2021 | 469 | 2021 |
On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks S Wang, H Wang, P Perdikaris Computer Methods in Applied Mechanics and Engineering 384, 113938, 2021 | 313 | 2021 |
Improved architectures and training algorithms for deep operator networks S Wang, H Wang, P Perdikaris Journal of Scientific Computing 92 (2), 35, 2022 | 68 | 2022 |
COVID-19 dynamics across the US: A deep learning study of human mobility and social behavior MA Bhouri, FS Costabal, H Wang, K Linka, M Peirlinck, E Kuhl, ... Computer Methods in Applied Mechanics and Engineering 382, 113891, 2021 | 59 | 2021 |
An expert's guide to training physics-informed neural networks S Wang, S Sankaran, H Wang, P Perdikaris arXiv preprint arXiv:2308.08468, 2023 | 36 | 2023 |
Random weight factorization improves the training of continuous neural representations S Wang, H Wang, JH Seidman, P Perdikaris arXiv preprint arXiv:2210.01274, 2022 | 5 | 2022 |
On the impact of larger batch size in the training of Physics Informed Neural Networks S Sankaran, H Wang, LF Guilhoto, P Perdikaris The Symbiosis of Deep Learning and Differential Equations II, 2022 | 4 | 2022 |
Payload and linker designs for platinum-acridine anticancer agents and methods thereof U Bierbach, X Yao, H Wang US Patent 11,591,357, 2023 | 2 | 2023 |
Enhancing the trainability and expressivity of deep MLPs with globally orthogonal initialization H Wang, I Crawford-Eng, P Perdikaris The Symbiosis of Deep Learning and Differential Equations, 2021 | 2 | 2021 |
Acid-labile linker design for targeted delivery and release of platinum-acridine anticancer agents H Wang, M Yang, U Bierbach ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 253, 2017 | | 2017 |