Path sampling of recurrent neural networks by incorporating known physics

Recurrent neural networks have seen widespread use in modeling dynamical systems in varied domains such as weather prediction, text prediction and several others. Often one wishes to supplement the experimentally observed dynamics with prior knowledge or intuition about the system. While the recurre...

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Detalles Bibliográficos
Autores principales: Tsai, Sun-Ting, Fields, Eric, Xu, Yijia, Kuo, En-Jui, Tiwary, Pratyush
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9700810/
https://www.ncbi.nlm.nih.gov/pubmed/36433982
http://dx.doi.org/10.1038/s41467-022-34780-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9700810/
https://www.ncbi.nlm.nih.gov/pubmed/36433982
http://dx.doi.org/10.1038/s41467-022-34780-x

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