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  • Published Subscription Original Research

    Generative AI for Designing Sustainable Polymer Composites for Renewable Energy Applications

    Abstract: Sustainable polymer composites are increasingly required for renewable energy devices, yet conventional trial-and-error formulation cannot efficiently balance performance, processability, recyclability, and environmental constraints. This study proposes a generative artificial intelligence framework for designing polymer composites for photovoltaic encapsulation, dielectric energy storage, polymer electrolytes, and thermal-management systems. Public polymer-property and composite datasets were curated from open databases and published supplementary records. Chemical descriptors, molecular fingerprints, polymer embeddings, processing variables, and sustainability …

    Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1232–1257 Read article

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