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RESEARCH PAPER · Engineering Applications of Artificial Intelligence · 2026

Application of machine learning to mechanical properties of composite materials: A ten-year review (2015–2025)

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Application of machine learning to mechanical properties of composite materials: A ten-year review (2015–2025)OriginalInterface design, mechanism analysis, collaborative optimization and microstructure evolution toward advanced applications: a review of high-performance Ti/Al laminated composites2A Review of Mechanical Properties Characterization and Structural Process Design for Needle‐Punched Fiber‐Reinforced Composites0AI-driven property prediction and design optimisation of composite materials: A review0Machine Learning-Guided prediction of tensile properties in short carbon fiber reinforced polypropylene composites0

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  1. Interface design, mechanism analysis, collaborative optimization and microstructure evolution toward advanced applications: a review of high-performance Ti/Al laminated composites

    Journal of Materials Research and Technology · 2026-05-01

    Lixia Wang, Liuyang Yan, Zhibin Han, Wangyang Li, Yaojia Shi, Yang Cao, Shuo Liu, Lutong Sun, Fupeng Cheng, Linsen Zhang

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  2. A Review of Mechanical Properties Characterization and Structural Process Design for Needle‐Punched Fiber‐Reinforced Composites

    Polymer Composites · 2026-08-20

    Yunchao Qi, Zihui Hao, Ruihong Sun, Wei Zhang, Guizhe Zhao

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  3. AI-driven property prediction and design optimisation of composite materials: A review

    Journal of Reinforced Plastics and Composites · 2026-09-15

    Sudhanshu Singh, Ranjna Kumari, Zunjarrao Kamble, Ghanshyam Neje

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  4. Machine Learning-Guided prediction of tensile properties in short carbon fiber reinforced polypropylene composites

    Composites Part A Applied Science and Manufacturing · 2026-09-17

    Jinrong Shi, Yantao Gao

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