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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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Bibliografski detalji
Izdano u:MRS Commun
Glavni autori: Vasudevan, Rama K., Choudhary, Kamal, Mehta, Apurva, Smith, Ryan, Kusne, Gilad, Tavazza, Francesca, Vlcek, Lukas, Ziatdinov, Maxim, Kalinin, Sergei V., Hattrick-Simpers, Jason
Format: Artigo
Jezik:Inglês
Izdano: 2019
Teme:
Online pristup: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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