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This document presents an AI-based strategy for the accelerated design of proton-exchange membranes (PEMs) for water electrolyzers, aimed at enhancing green hydrogen production. The approach combines virtual forward synthesis to generate a vast array of potential polymers with machine learning models to predict their properties, resulting in the identification of over 1,700 new synthesizable candidates. The study addresses the challenges of high costs and environmental concerns associated with traditional N

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fygs60nlwj

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EN