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RESEARCH PAPER · IOP Conference Series Materials Science and Engineering · 2019

Machine-Learning-Assisted the Design of Resin Matrix Composites Coating with Ablation Resistance

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Machine-Learning-Assisted the Design of Resin Matrix Composites Coating with Ablation ResistanceOriginalData-driven approach to optimize composition and process parameters of hydrophobic coating formulation6Construction of Prediction Models of Mass Ablation Rate for Silicone Rubber-Based Flexible Ablative Composites Based on a Small Dataset1Harnessing Machine Learning for the Design of Surface Coatings: Challenges and Opportunities13Mechanical properties of phenolic resins0

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  1. Data-driven approach to optimize composition and process parameters of hydrophobic coating formulation

    Surfaces and Interfaces · 2021-01-28

    Sai Venkata Gayathri Ayyagari, Santosh Daware, Beena Rai

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  2. Construction of Prediction Models of Mass Ablation Rate for Silicone Rubber-Based Flexible Ablative Composites Based on a Small Dataset

    Applied Sciences · 2024-09-07

    Wenxing Chen, Chuxiang Zhou, Hao Zhang, Liwei Yan, Shengtai Zhou, Yang Chen, Zhengguang Heng, Huawei Zou, Mei Liang

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  3. Harnessing Machine Learning for the Design of Surface Coatings: Challenges and Opportunities

    ACS Applied Materials & Interfaces · 2025-06-26

    Tu C. Le, Dang-Nhat Nguyen, Daniel Kaminski, Tony Kolver, Priya Subramanian, Stuart A. Bateman

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  4. Mechanical properties of phenolic resins

    Elsevier eBooks · 2025-12-05

    Anant D. Kulkarni, Aditi M. Chavan, Milind V. Kulkarni

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