A comparative study of predicting high entropy alloy phase fractions with traditional machine learning and deep neural networks

Shusen Liu (ORCID 0000-0002-6455-8391), Brandon Bocklund, James Diffenderfer, Shreya Chaganti, Bhavya Kailkhura, Scott K. McCall (ORCID 0000-0002-7979-4944), Brian Gallagher, Aurélien Perron (ORCID 0000-0002-5280-003X), Joseph T. McKeown (ORCID 0000-0002-8921-4798)

npj Computational Materials 10 (1) 172 (2024) · Springer Science and Business Media LLC

DOI: 10.1038/s41524-024-01335-1

Data: JSON record · id doi:10.1038/s41524-024-01335-1 · metadata: crossref

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• discovery lead (found by Crossref assessment discovery, not read): rank 736, score 102; systems named in title: none

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Read by ORCHID: no. Open-access licence (Crossref license field): https://creativecommons.org/licenses/by-nc-nd/4.0 (vor). Crossref is-referenced-by count: 67 (retrieved 2026-10-23).

Relations

References (Crossref, publisher-deposited) (26)

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