Benchmarking the acceleration of materials discovery by sequential learning

Sequential learning (SL) strategies, i.e. iteratively updating a machine learning model to guide experiments, have been proposed to significantly accelerate materials discovery and research. Applications on computational datasets and a handful of optimization experiments have demonstrated the promis...

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Detalles Bibliográficos
Autores principales: Rohr, Brian, Stein, Helge S., Guevarra, Dan, Wang, Yu, Haber, Joel A., Aykol, Muratahan, Suram, Santosh K., Gregoire, John M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2020
Materias:
Chemistry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8157525/
https://www.ncbi.nlm.nih.gov/pubmed/34084328
http://dx.doi.org/10.1039/c9sc05999g

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8157525/
https://www.ncbi.nlm.nih.gov/pubmed/34084328
http://dx.doi.org/10.1039/c9sc05999g

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