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Machine learning accelerated discovery of corrosion-resistant high-entropy alloys

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Exemplar Discovery Paper for Corrosion-resistant materials. Exemplar discovery paper for Corrosion-resistant materials; selected as a highly cited or venue-prominent research article rather than a general review.

Citation: Cheng Zeng, Andrew Neils, Jack Lesko, Nathan Post. Machine learning accelerated discovery of corrosion-resistant high-entropy alloys. Computational Materials Science 2024. https://doi.org/10.1016/j.commatsci.2024.112925

Acknowledgement: Curated by MaterialsAtlas Open Resources from OpenAlex, Crossref, and manual landmark-paper review.

TypeReading List

DomainCorrosion-resistant materials

LicenseScholarly article; see publisher

ContributorsCheng Zeng, Andrew Neils, Jack Lesko, Nathan Post