Closed-loop superconducting materials discovery
Abstract Discovery of novel materials is slow but necessary for societal progress. Here, we demonstrate a closed-loop machine learning (ML) approach to rapidly explore a large materials search space, accelerating the intentional discovery of superconducting compounds. By experimentally validating th...
Main Authors: | Elizabeth A. Pogue, Alexander New, Kyle McElroy, Nam Q. Le, Michael J. Pekala, Ian McCue, Eddie Gienger, Janna Domenico, Elizabeth Hedrick, Tyrel M. McQueen, Brandon Wilfong, Christine D. Piatko, Christopher R. Ratto, Andrew Lennon, Christine Chung, Timothy Montalbano, Gregory Bassen, Christopher D. Stiles |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-10-01
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Series: | npj Computational Materials |
Online Access: | https://doi.org/10.1038/s41524-023-01131-3 |
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