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RESEARCH PAPER · Materials Today Communications · 2022

Materials informatics of woven fabric composites: Effect of different dimensionality reduction and learning methods

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Materials informatics of woven fabric composites: Effect of different dimensionality reduction and learning methodsOriginalDesigning Sustainable Hydrophilic Interfaces via Feature Selection from Molecular Descriptors and Time-Domain Nuclear Magnetic Resonance Relaxation Curves9A critical review on machine learning applications in fiber composites and nanocomposites: Towards a control loop in the chain of processes in industries20Hybrid data-driven model for predicting the shear strength of discontinuous rock materials2DiMAT Materials Modeler (DiMM): An Interactive Framework for Materials Property Prediction and Optimization Using a Hybrid Machine Learning - Genetic Algorithm Approach1

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  1. Designing Sustainable Hydrophilic Interfaces via Feature Selection from Molecular Descriptors and Time-Domain Nuclear Magnetic Resonance Relaxation Curves

    Polymers · 2024-03-15

    Masayuki Okada, Yoshifumi Amamoto, Jun Kikuchi

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  2. A critical review on machine learning applications in fiber composites and nanocomposites: Towards a control loop in the chain of processes in industries

    Materials & Design · 2024-08-13

    Allan Gomez-Flores, Hyunjae Cho, Gilsang Hong, Hyojeong Nam, Hyunjung Kim, Yong-Sik Chung

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  3. Hybrid data-driven model for predicting the shear strength of discontinuous rock materials

    Materials Today Communications · 2024-09-04

    Daxing Lei, Yaoping Zhang, Zhigang Lu, Liu Bo, Hang Lin

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  4. DiMAT Materials Modeler (DiMM): An Interactive Framework for Materials Property Prediction and Optimization Using a Hybrid Machine Learning - Genetic Algorithm Approach

    IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC) · 2025-06-16

    Ioannis Papadimitriou, Ilias Gialampoukidis, Stefanos Vrochidis, Ioannis Yiannis Kompatsiaris

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