Polymers, Volume 17, Issue 7
April-1 2025 - 170 articles
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Cover Story: Most mechanically recycled plastics are blends containing small amounts of unintended polymers from mis-sorting, caps, bags, labels, and other sources. These impurities can significantly alter the mechanical properties of these plastics, often resulting in inconsistent quality and reduced market acceptance, reinforcing reliance on virgin plastics. To evaluate the performance of recycled polymers, we propose a hybrid approach combining an easy-to-train neural network with a robust physics-based polymer model. This method predicts how varying polymer blend ratios influence stress–strain behavior, aiding in the identification of material limitations and the exploration of potential applications beyond the original intended use of these materials. View this paper 
