Closed-loop superconducting materials discovery

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...

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Bibliographic Details
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
Format: Article
Language:English
Published: Nature Portfolio 2023-10-01
Series:npj Computational Materials
Online Access:https://doi.org/10.1038/s41524-023-01131-3

Internet

https://doi.org/10.1038/s41524-023-01131-3

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