| A derivative-free method for solving elliptic partial differential equations with deep neural networks J Han, M Nica, AR Stinchcombe Journal of Computational Physics 419, 109672, 2020 | 60 | 2020 |
| Spontaneous oscillation and fluid–structure interaction of cilia J Han, CS Peskin Proceedings of the National Academy of Sciences 115 (17), 4417-4422, 2018 | 50 | 2018 |
| Hierarchical learning to solve PDEs using physics-informed neural networks J Han, Y Lee International Conference on Computational Science, 548-562, 2023 | 20* | 2023 |
| A neural network approach for homogenization of multiscale problems J Han, Y Lee Multiscale Modeling & Simulation 21 (2), 716-734, 2023 | 17 | 2023 |
| Inhomogeneous regularization with limited and indirect data J Han, Y Lee Journal of Computational and Applied Mathematics 428, 115193, 2023 | 6 | 2023 |
| An analysis of the derivative-free loss method for solving PDEs J Han, Y Lee arXiv preprint arXiv:2309.16829, 2023 | 1 | 2023 |
| Weighted inhomogeneous regularization for inverse problems with indirect and incomplete measurement data B Choi, J Han, Y Lee arXiv preprint arXiv:2307.10448, 2023 | 1 | 2023 |
| A stochastic approach for elliptic problems in perforated domains J Han, Y Lee Journal of Computational Physics 519, 113426, 2024 | | 2024 |
| Learning In-Between Imagery Dynamics via Physical Latent Spaces J Han, Y Lee, A Gelb SIAM Journal on Scientific Computing 46 (5), C608-C632, 2024 | | 2024 |
| Robust Fourier Neural Networks H Jeong, J Han arXiv preprint arXiv:2409.02052, 2024 | | 2024 |
| The intrinsic bounds on the risk premium of Markovian pricing kernels J Han, H Park Finance Research Letters 13, 36-44, 2015 | | 2015 |