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RESEARCH PAPER · Rare Metals · 2025

A Mini Review on Evolution of High‐Entropy Alloy Design: From Experimental Approaches to Machine Learning Integration

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Open in your workspace →Saved 2026-10-14 · complete coverage
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A Mini Review on Evolution of High‐Entropy Alloy Design: From Experimental Approaches to Machine Learning IntegrationOriginalMulti-scale fusion SDAM-net empowered by physics-informed conditional spectral augmentation enabling spectral feature assignment for the concurrent detection of nitrogen and sulfur in ship fuel oil0Emerging Machine Learning Strategies for Digital Processing and Additive Manufacturing of Advanced Ceramics0Feature Papers in Crystallography and Applications of Metallic Materials (2nd Edition)0Explainable artificial intelligence shines a light on catalysis: methods, applications, and future directions0

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  1. Multi-scale fusion SDAM-net empowered by physics-informed conditional spectral augmentation enabling spectral feature assignment for the concurrent detection of nitrogen and sulfur in ship fuel oil

    RSC Advances · 2026-01-01

    Haoze Tian, Yanan Zhang, Di Wu, Chuqiao Hu, Peilun Qiu, Jianqiao Liu, Ce Fu

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  2. Emerging Machine Learning Strategies for Digital Processing and Additive Manufacturing of Advanced Ceramics

    International Journal of Applied Ceramic Technology · 2026-04-29

    Sioney Teixeira Monteiro, Isaac A. T. Monteiro, Jose R. Fernández-Gamboa, Yurimiler Leyet

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  3. Feature Papers in Crystallography and Applications of Metallic Materials (2nd Edition)

    Metals · 2026-05-31

    J.J. Suñol

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  4. Explainable artificial intelligence shines a light on catalysis: methods, applications, and future directions

    Academia Catalysis · 2026-08-05

    Zixuan Geng, Di Wu, Xu Zhao, Chuqiao Hu, Peilun Qiu, Ce Fu, Jianqiao Liu

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