Active learning applied to automated physical systems increases the rate of discovery

Active machine learning is widely used in computational studies where repeated numerical simulations can be conducted on high performance computers without human intervention. But translation of these active learning methods to physical systems has proven more difficult and the accelerated pace of d...

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Detalles Bibliográficos
Autores principales: Shields, Michael D., Gurley, Kurtis, Catarelli, Ryan, Chauhan, Mohit, Ojeda-Tuz, Mariel, Masters, Forrest J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10209069/
https://www.ncbi.nlm.nih.gov/pubmed/37225752
http://dx.doi.org/10.1038/s41598-023-35257-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10209069/
https://www.ncbi.nlm.nih.gov/pubmed/37225752
http://dx.doi.org/10.1038/s41598-023-35257-7

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