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RESEARCH PAPER · Machine Learning Science and Technology · 2025

Graph representation of local environments for learning high-entropy alloy properties

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Graph representation of local environments for learning high-entropy alloy propertiesOriginalOvercoming sparse datasets with multi-task learning as applied to high entropy alloys3Perspective on artificial intelligence for accelerated materials design (AI4Mat) workshops in 20240Modeling High-Entropy Alloys: Challenges, Progress, and Future Directions0Breaking equiatomic constraints: knowledge-enhanced AI framework for function-oriented single-phase high-entropy alloy design1

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  1. Overcoming sparse datasets with multi-task learning as applied to high entropy alloys

    Machine Learning Science and Technology · 2025-02-12

    Arindam Debnath, Wesley F. Reinhart

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  2. Perspective on artificial intelligence for accelerated materials design (AI4Mat) workshops in 2024

    Machine Learning Science and Technology · 2025-09-30

    Santiago Miret, Marta Skreta, Geemi P. Wellawatte, Stefano Martiniani, N. M. Anoop Krishnan, George Karypis, Kevin Maik Jablonka

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  3. Modeling High-Entropy Alloys: Challenges, Progress, and Future Directions

    Annual Review of Materials Research · 2026-04-09

    Maryam Ghazisaeidi, R. Arroyave, Céline Varvenne

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  4. Breaking equiatomic constraints: knowledge-enhanced AI framework for function-oriented single-phase high-entropy alloy design

    npj Computational Materials · 2026-04-13

    Huiting Huang, Yeyong Yu, Weilun Deng, Quan Qian, Hongxing Zheng

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