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Virtual-Alloy Physics-Aware Semantic System for extrapolative prediction of perovskite solar cells
Existing machine-learning models for perovskite solar cells struggle to predict devices made from new materials. Most treat device layers as arbitrary categorical labels and represent perovskite absorbers either through featureless composition vectors or through rigid crystal graphs that require a p
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