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RESEARCH PAPER · Macromolecular Rapid Communications · 2024

Design of Co‐Cured Multi‐Component Thermosets with Enhanced Heat Resistance, Toughness, and Processability via a Machine Learning Approach

Shuang Song, Xinyao Xu, Haoxiang Lan, Liang Gao, Jiaping Lin, Lei Du, Yuyuan Wang

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42 direct citing works

Design of Co‐Cured Multi‐Component Thermosets with Enhanced Heat Resistance, Toughness, and Processability via a Machine Learning ApproachOriginalDiscovery of Copolymer Resins with Optimal Viscosity–Toughness–Heat Resistance Trade-Offs via the Material Genome Approach10Discovering polyimides and their composites with targeted mechanical properties through explainable machine learning10Synthesis and characterization of silicon‐containing arylacetylene resins‐like heat‐resistant silane coupling agents: Enhancement of interfacial properties for composites6Machine learning in polymer science: A new lens for physical and chemical exploration35Data-efficient Machine Learning for Polymer Informatics11AI‐Powered Inverse Design of High‐Performance Unidirectional CFRP Composites: Breaking the Compressive‐Tensile Trade‐Off via Machine Learning3Development of Disulfide Epoxy Vitrimers via Transfer Learning: Bridging the Gap between Excellent Comprehensive Properties and Dynamic Cross-Linking Networks5Machine Learning-assisted Discovery of Multifunctional Coordination in Multicomponent Composites0Towards an artificial intelligence ecosystem for performance-driven polymer design1Machine Learning for Reactive Structural Adhesive Design: A Framework for Chemistry, Formulation, and Optimization0Machine learning-assisted property prediction and virtual screening of polyimides for flexible electronic applications1Simulation-assisted design of copolymerized silicon-containing arylacetylene resins for balanced processability and thermal stability0

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12 direct citing papers saved.

  1. Discovery of Copolymer Resins with Optimal Viscosity–Toughness–Heat Resistance Trade-Offs via the Material Genome Approach

    Chemistry of Materials · 2024-12-05

    Xuan‐Feng Jiang, Xiangfei Ye, Liangshun Zhang, Jiaping Lin

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  2. Discovering polyimides and their composites with targeted mechanical properties through explainable machine learning

    Journal of Materials Informatics · 2025-01-04

    Weilong Hu, Enzhe Jing, Haoke Qiu, Zhao‐Yan Sun

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  3. Synthesis and characterization of silicon‐containing arylacetylene resins‐like heat‐resistant silane coupling agents: Enhancement of interfacial properties for composites

    Polymer Composites · 2025-02-06

    Huamei Zhu, Chaoen Jin, Fan Wang, Yaping Zhu, Shifeng Deng, Huimin Qi

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  4. Machine learning in polymer science: A new lens for physical and chemical exploration

    Progress in Materials Science · 2025-07-29

    Xiao-Qin Cao, Yongqing Zhang, Zhenghua Sun, Hongyao Yin, Yujun Feng

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  5. Data-efficient Machine Learning for Polymer Informatics

    Chinese Journal of Polymer Science · 2025-09-02

    Xin-Yao Xu, Xiao Hu, Liquan Wang, Ying Lan Jiang

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  6. AI‐Powered Inverse Design of High‐Performance Unidirectional CFRP Composites: Breaking the Compressive‐Tensile Trade‐Off via Machine Learning

    Macromolecular Rapid Communications · 2025-09-13

    Yisheng Xu, Jiani Zhang, Tianhao Xu, Haoxiang Lan, Liquan Wang, Jiaping Lin, Lei Du

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  7. Development of Disulfide Epoxy Vitrimers via Transfer Learning: Bridging the Gap between Excellent Comprehensive Properties and Dynamic Cross-Linking Networks

    Macromolecules · 2025-12-08

    Yucheng Zhang, Junyu Luo, Hao Li, Wen-Rui Li, Wen-Rui Li, Wendong Li, Wendong Li, Ming Zhang, Guanjun Zhang

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  8. Machine Learning-assisted Discovery of Multifunctional Coordination in Multicomponent Composites

    Chinese Journal of Polymer Science · 2025-12-18

    Zi-Ran Guo, Sen Xue, Lu He, Zi‐Long Xie, Tian-Hao Yang, Qiang Fu

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  9. Towards an artificial intelligence ecosystem for performance-driven polymer design

    Polymer Chemistry · 2026-01-01

    Jie Zhu, Dong Wu, Zhao‐Yan Sun, H. C. Li, Xiayun Huang, Zhihong Nie

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  10. Machine Learning for Reactive Structural Adhesive Design: A Framework for Chemistry, Formulation, and Optimization

    Adhesives · 2026-02-24

    Florian Rothenhäusler, Holger Ruckdaeschel

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  11. Machine learning-assisted property prediction and virtual screening of polyimides for flexible electronic applications

    Chemical Engineering Journal · 2026-04-10

    Xu Li, Haoyu Yang, Junjie Qiao, Mengli Wei, Qingji Wang

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  12. Simulation-assisted design of copolymerized silicon-containing arylacetylene resins for balanced processability and thermal stability

    Composites Communications · 2026-05-26

    Zhentao Zhang, Tianyi Wang, Lin Zhao, Honglin Hu, Liquan Wang, Jiaping Lin, Lei Du

    Read original paper ↗ ·
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