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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Vydáno v:MRS Commun
Hlavní autoři: Vasudevan, Rama K., Choudhary, Kamal, Mehta, Apurva, Smith, Ryan, Kusne, Gilad, Tavazza, Francesca, Vlcek, Lukas, Ziatdinov, Maxim, Kalinin, Sergei V., Hattrick-Simpers, Jason
Médium: Artigo
Jazyk:Inglês
Vydáno: 2019
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Article
On-line přístup: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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