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In this study, an innovative method for recycling mixed plastics was developed, based on the principle of dissolution\u2013precipitation, focusing on a plastic mixture typically found in plastic recycling bins. Initially, different solvents were employed to dissolve polymers individually being the dissolution extent determined. Using this data, together with solubility parameters, including the Hildebrand coefficients and others, of both the plastics and solvents, were used as inputs to develop machine learning (ML) models. These models aimed to identify solvents with suitable properties for dissolving specific polymers. The developed model achieved a training accuracy of 92.03% and a testing accuracy of 84.62%. However, when examining other, often more meaningful metrics, Precision, Recall, and F1\u2010Measure scores of 42.31%, 50%, and 45.83%, respectively, were obtained. Despite these preliminary challenges, this stage laid the groundwork for developing a methodology capable of isolating all polymers present in a mixture with high selectivity (between 93.5% and 108.7%). The recovered polymers exhibited identical chemical, thermal, and mechanical properties to their original counterparts. Overall, this work provides a pathway toward a more sustainable and circular approach to managing plastic waste.<\/jats:p>","DOI":"10.1002\/pol.20241131","type":"journal-article","created":{"date-parts":[[2025,3,23]],"date-time":"2025-03-23T10:14:30Z","timestamp":1742724870000},"page":"1983-1993","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Recycling of a Polymer Mixture Through Dissolution\u2013Precipitation and Development of Machine Learning Models to Assess Polymer\/Solvent Suitability"],"prefix":"10.1002","volume":"63","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1865-098X","authenticated-orcid":false,"given":"N.","family":"Gama","sequence":"first","affiliation":[{"name":"CICECO\u2014Aveiro Institute of Materials and Department of Chemistry University of Aveiro  Aveiro Portugal"}]},{"given":"G.","family":"Silva","sequence":"additional","affiliation":[{"name":"IEETA\u2014Institute of Electronics and Informatics Engineering of Aveiro and Department of Electronics, Telecommunications and Informatics University of Aveiro  Aveiro Portugal"}]},{"given":"B.","family":"Godinho","sequence":"additional","affiliation":[{"name":"CICECO\u2014Aveiro Institute of Materials and Department of Chemistry University of Aveiro  Aveiro Portugal"}]},{"given":"A.","family":"Ferreira","sequence":"additional","affiliation":[{"name":"CICECO\u2014Aveiro Institute of Materials and \u00c1gueda School of Technology and Management  \u00c1gueda Portugal"}]},{"given":"M.","family":"Rodrigues","sequence":"additional","affiliation":[{"name":"IEETA\u2014Institute of Electronics and Informatics Engineering of Aveiro and \u00c1gueda School of Technology and Management  \u00c1gueda Portugal"}]},{"given":"J. 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