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"Scientific AI in materials science: a path to a sustainable and scalable ..."

Brian DeCost et al. (2020)

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DOI: 10.1088/2632-2153/AB9A20

access: open

type: Journal Article

metadata version: 2021-10-14

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  - journals/mlst/DeCostHTKCG20
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  - https://dblp.org/rec/journals/mlst/DeCostHTKCG20
Brian DeCost, Jason Hattrick-Simpers, Zachary Trautt, Aaron Gilad Kusne, Eva Campo, Martin Green:
Scientific AI in materials science: a path to a sustainable and scalable paradigm. Mach. Learn. Sci. Technol. 1(3): 33001 (2020)

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