Hypothesis Learning in Automated Experiment: Application to Combinatorial Materials Libraries.

Ziatdinov, Maxim A; Liu, Yongtao; Morozovska, Anna N; Eliseev, Eugene A; Zhang, Xiaohang; Takeuchi, Ichiro; Kalinin, Sergei V

Ziatdinov, Maxim A; Liu, Yongtao; Morozovska, Anna N; Eliseev, Eugene A; Zhang, Xiaohang; Takeuchi, Ichiro; Kalinin, Sergei V.

Afiliação

Ziatdinov MA; Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA.
Liu Y; Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA.
Morozovska AN; Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA.
Eliseev EA; Institute of Physics, National Academy of Sciences of Ukraine, 46, pr. Nauky, Kyiv, 03028, Ukraine.
Zhang X; Institute for Problems of Materials Science, National Academy of Sciences of Ukraine, Krjijanovskogo 3, Kyiv, 03142, Ukraine.
Takeuchi I; Department of Materials Science and Engineering, University of Maryland, College Park, MD, 20742, USA.
Kalinin SV; Department of Materials Science and Engineering, University of Maryland, College Park, MD, 20742, USA.

Adv Mater ; 34(20): e2201345, 2022 May.

Article em En | MEDLINE | ID: mdl-35279893

Assuntos

Aprendizado de Máquina; Humanos; Microscopia Eletrônica

Palavras-chave

active learning; combinatorial library; ferroelectric; hypothesis learning; scanning probe microscopy

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado de Máquina Limite: Humans Idioma: En Revista: Adv Mater Assunto da revista: BIOFISICA / QUIMICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

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