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  • Published Subscription Original Research

    Machine Learning–Assisted Design of High-Performance Biomedical Polymer Composites

    Abstract: The high-performance biomedical polymer composite design needs to represent a trade-off between the strength, biocompatibility, and degradation that cannot be accomplished using conventional design methods. The study aims to develop a predictive and optimization framework of composite properties with the help of machine learning. The methods include ANN, SVM, Random Forest, and Gradient Boosting with experiment and simulation data. The results of Gradient Boosting show that the accuracy is 95.9 …

    Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article

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