2 publications

  • Published Subscription Original Research

    Data-Driven Design Framework for Biofunctional Polymer Composite Materials

    Abstract: This paper introduces a knowledge-based design platform of biofunctional polymer composite substances through the combination of machine learning, materials informatics, and digital twins applications. The framework allows the effortless forecasting and maximization of mechanical, biological and degradation characteristics based on supervised, unsupervised and deep learning models. A materials database is accompanied by the AI algorithms to find the best material compositions and microstructure-property relationships. Experimental validation proves to be more …

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

  • Published Subscription Original Research

    AI-integrated Responsive Polymer Composites for Controlled Drug Delivery

    Abstract: In the current biomedical engineering, it has been established that the development of smart drug delivery systems has become a paramount of relevance especially in ensuring precise, controlled and targeted therapeutic effects. This paper proposes a responsive polymer composite architecture with built-in AI, which is used to deliver drugs in a controlled manner and involves the development of advanced material design and predictive modeling based on data. Biocompatible materials and …

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

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