Yan Barbosa Werneck, Rodrigo Weber dos Santos, Bernardo Martins Rocha, Rafael Sachetto Oliveira. Replacing the FitzHugh-Nagumo Electrophysiology Model by Physics-Informed Neural Networks. In Jirí Mikyska, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot, editors, Computational Science - ICCS 2023 - 23rd International Conference, Prague, Czech Republic, July 3-5, 2023, Proceedings, Part II. Volume 14074 of Lecture Notes in Computer Science, pages 699-713, Springer, 2023. [doi]
@inproceedings{WerneckSRO23,
title = {Replacing the FitzHugh-Nagumo Electrophysiology Model by Physics-Informed Neural Networks},
author = {Yan Barbosa Werneck and Rodrigo Weber dos Santos and Bernardo Martins Rocha and Rafael Sachetto Oliveira},
year = {2023},
doi = {10.1007/978-3-031-36021-3_67},
url = {https://doi.org/10.1007/978-3-031-36021-3_67},
researchr = {https://researchr.org/publication/WerneckSRO23},
cites = {0},
citedby = {0},
pages = {699-713},
booktitle = {Computational Science - ICCS 2023 - 23rd International Conference, Prague, Czech Republic, July 3-5, 2023, Proceedings, Part II},
editor = {Jirí Mikyska and Clélia de Mulatier and Maciej Paszynski and Valeria V. Krzhizhanovskaya and Jack J. Dongarra and Peter M. A. Sloot},
volume = {14074},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-36021-3},
}