From PINNs to PIKANs: recent advances in physics-informed machine learning
- DOI
- 10.1007/s44379-025-00015-1
- Published
- 2025-03-11
- Container
- Machine Learning for Computational Science and Engineering
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s44379-025-00015-1,
title = {From PINNs to PIKANs: recent advances in physics-informed machine learning},
author = {Juan Diego Toscano and Vivek Oommen and Alan John Varghese and Zongren Zou and Nazanin Ahmadi Daryakenari and Chenxi Wu and George Em Karniadakis},
year = {2025},
journal = {Machine Learning for Computational Science and Engineering},
doi = {10.1007/s44379-025-00015-1},
url = {https://doi.org/10.1007/s44379-025-00015-1}
}RIS
TY - JOUR TI - From PINNs to PIKANs: recent advances in physics-informed machine learning AU - Juan Diego Toscano AU - Vivek Oommen AU - Alan John Varghese AU - Zongren Zou AU - Nazanin Ahmadi Daryakenari AU - Chenxi Wu AU - George Em Karniadakis PY - 2025 JO - Machine Learning for Computational Science and Engineering DO - 10.1007/s44379-025-00015-1 UR - https://doi.org/10.1007/s44379-025-00015-1 ER -
APA
Toscano, J. D., Oommen, V., Varghese, A. J., Zou, Z., Daryakenari, N. A., Wu, C., & Karniadakis, G. E. (2025). From PINNs to PIKANs: recent advances in physics-informed machine learning. Machine Learning for Computational Science and Engineering. https://doi.org/10.1007/s44379-025-00015-1
Source records
- crossref · retrieved 2026-09-25T19:11:58.407Z