Accelerating materials discovery using artificial intelligence, high performance computing and robotics
Abstract New tools enable new ways of working, and materials science is no exception. In materials discovery, traditional manual, serial, and human-intensive work is being augmented by automated, parallel, and iterative processes driven by Artificial Intelligence (AI), simulation and experimental au...
Main Authors: | Edward O. Pyzer-Knapp, Jed W. Pitera, Peter W. J. Staar, Seiji Takeda, Teodoro Laino, Daniel P. Sanders, James Sexton, John R. Smith, Alessandro Curioni |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-04-01
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Series: | npj Computational Materials |
Online Access: | https://doi.org/10.1038/s41524-022-00765-z |
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