Forecasting the outcome of spintronic experiments with Neural Ordinary Differential Equations

Deep learning has an increasing impact to assist research, allowing, for example, the discovery of novel materials. Until now, however, these artificial intelligence techniques have fallen short of discovering the full differential equation of an experimental physical system. Here we show that a dyn...

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Detalles Bibliográficos
Autores principales: Chen, Xing, Araujo, Flavio Abreu, Riou, Mathieu, Torrejon, Jacob, Ravelosona, Dafiné, Kang, Wang, Zhao, Weisheng, Grollier, Julie, Querlioz, Damien
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/PMC8866480/
https://www.ncbi.nlm.nih.gov/pubmed/35197449
http://dx.doi.org/10.1038/s41467-022-28571-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8866480/
https://www.ncbi.nlm.nih.gov/pubmed/35197449
http://dx.doi.org/10.1038/s41467-022-28571-7

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