| A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks C Wu, M Zhu, Q Tan, Y Kartha, L Lu Computer Methods in Applied Mechanics and Engineering 403, 115671, 2023 | 404 | 2023 |
| From pinns to pikans: Recent advances in physics-informed machine learning JD Toscano, V Oommen, AJ Varghese, Z Zou, NA Daryakenari, C Wu, ... arXiv preprint arXiv:2410.13228, 2024 | 14 | 2024 |
| Artificial to spiking neural networks conversion for scientific machine learning Q Zhang, C Wu, A Kahana, Y Kim, Y Li, GE Karniadakis, P Panda arXiv preprint arXiv:2308.16372, 2023 | 13 | 2023 |
| Inferring in vivo murine cerebrospinal fluid flow using artificial intelligence velocimetry with moving boundaries and uncertainty quantification JD Toscano, C Wu, A Ladrón-de-Guevara, T Du, M Nedergaard, ... Interface Focus 14 (6), 20240030, 2024 | 2 | 2024 |
| GPT vs Human for Scientific Reviews: A Dual Source Review on Applications of ChatGPT in Science C Wu, AJ Varghese, V Oommen, GE Karniadakis Journal of Machine Learning for Modeling and Computing, 2023 | | 2023 |
