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Materials Science in the AI age: high-throughput library generation, machine learning and a pathway from correlations to the underpinning physics

The use of advanced data analytics and applications of statistical and machine learning approaches (‘AI’) to materials science is experiencing explosive growth recently. In this prospective, we review recent work focusing on generation and application of libraries from both experiment and theoretica...

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Detalhes bibliográficos
Publicado no:MRS Commun
Main Authors: Vasudevan, Rama K., Choudhary, Kamal, Mehta, Apurva, Smith, Ryan, Kusne, Gilad, Tavazza, Francesca, Vlcek, Lukas, Ziatdinov, Maxim, Kalinin, Sergei V., Hattrick-Simpers, Jason
Formato: Artigo
Idioma:Inglês
Publicado em: 2019
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7067066/
https://ncbi.nlm.nih.gov/pubmed/32166045
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1557/mrc.2019.95
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