A Roadmap for Polymer Informatics Super-Intelligence
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This article presents a roadmap for advancing polymer informatics into an integrated intelligent system spanning data, models, and decision-making throughout the polymer design cycle. It focuses on on-demand inverse design, causal reasoning across chemistry, processing, and performance, and closed-loop autonomous experimentation. The resource targets polymer and materials informatics at the intersection of machine learning and computational material design.
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