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RESEARCH PAPER · IOP Conference Series Materials Science and Engineering · 2020

Porosity Prediction of Ceramic Matrix Composites Based on Random Forest

Xiang Yang Gao, Lefan Wang, Leijiang Yao

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Porosity Prediction of Ceramic Matrix Composites Based on Random ForestOriginalAn infrastructure with user-centered presentation data model for integrated management of materials data and services39Prediction of the Adsorption Behaviors of Radionuclides onto Bentonites Using a Machine Learning Method9Nondestructive Evaluation of the Isolated Pore Spatial Distribution State in a Special-Shaped C/SiC Composite Component3Visual analytics of an interpretable prediction model for the glass transition temperature of fluoroelastomers4High‐temperature ablation resistance prediction of ceramic coatings using machine learning101Development of Polyurethane‐Based Composites With Salt Clay and Industrial Wastes as Fillers: Corrosion, Mechanical Properties, and Machine Learning Insights1Methodology for Assessing Error in Determining the Porosity of Materials Based on X‑ray Computed Tomography Data0

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  1. An infrastructure with user-centered presentation data model for integrated management of materials data and services

    npj Computational Materials · 2021-06-08

    Shilong Liu, Yanjing Su, Haiqing Yin, Dawei Zhang, Jie He, Haiyou Huang, Xue Feng Jiang, Xuan Wang, Haiyan Gong, Zhuang Li, Hao Xiu, Jiawang Wan, Xiaotong Zhang

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  2. Prediction of the Adsorption Behaviors of Radionuclides onto Bentonites Using a Machine Learning Method

    Minerals · 2022-09-25

    Do-Hyeon Kim, Jun-Yeop Lee

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  3. Nondestructive Evaluation of the Isolated Pore Spatial Distribution State in a Special-Shaped C/SiC Composite Component

    Journal of Nondestructive Evaluation · 2023-11-24

    Wenhan Qu, Yintang Wen, Zimeng Yu, Zhao Pan, Yuyan Zhang

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  4. Visual analytics of an interpretable prediction model for the glass transition temperature of fluoroelastomers

    Materials Today Communications · 2024-08-01

    Jiling Liu, Yadong Wu, Zhoujun Lin, Lijuan Peng, Qikai Chu, Yujiao Tang, Weihan Zhang

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  5. High‐temperature ablation resistance prediction of ceramic coatings using machine learning

    Journal of the American Ceramic Society · 2024-09-20

    Jia Sun, Zhixiang Zhang, Yujia Zhang, Xuemeng Zhang, Jingjing Guo, Qiangang Fu, Lianwei Wu

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  6. Development of Polyurethane‐Based Composites With Salt Clay and Industrial Wastes as Fillers: Corrosion, Mechanical Properties, and Machine Learning Insights

    Journal of Vinyl and Additive Technology · 2025-05-27

    Mustafa Dağ, Ercan Aydoğmuş, Hasan Arslanoğlu, Zehra Gülten Yalçın, Semahat Doruk

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  7. Methodology for Assessing Error in Determining the Porosity of Materials Based on X‑ray Computed Tomography Data

    Известия высших учебных заведений. Приборостроение · 2026-09-06

    Vitaly B. Minasyan, A. V. Babaytsev, V.I. Protasov, A. V. Nazarov

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