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Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What’s next

Physics-Informed Neural Networks (PINNs) are a scientific machine learning technique used to solve problems involving Partial Differential Equations (PDEs).

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Cite this as

Salvatore Cuomo, Vincenzo Schiano Di Cola, Fabio Giampaolo, Gianluigi Rozza, Maziar Raissi, Francesco Piccialli (2024). Dataset: Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What’s next. https://doi.org/10.57702/4ooqpvk5

DOI retrieved: December 2, 2024

Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.2201.05624
Author Salvatore Cuomo
More Authors
Vincenzo Schiano Di Cola
Fabio Giampaolo
Gianluigi Rozza
Maziar Raissi
Francesco Piccialli