Materials science in the artificial intelligence age: high-throughput library generation, machine learning, and a pathway from correlations to the underpinning physics-Reference-Cited by-同舟云学术

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

Published:2019-09 Issue:3 Volume:9 Page:821-838
ISSN:2159-6859
Container-title:MRS Communications
language:en
Short-container-title:MRS Communications

Author:

Vasudevan Rama K.,Choudhary Kamal,Mehta Apurva,Smith Ryan,Kusne Gilad,Tavazza Francesca,Vlcek Lukas,Ziatdinov Maxim,Kalinin Sergei V.,Hattrick-Simpers Jason

Publisher

Springer Science and Business Media LLC

Subject

General Materials Science

Link

http://link.springer.com/content/pdf/10.1557/mrc.2019.95.pdf

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