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Provenance-grouped protocol for evaluating machine learning in perovskite photovoltaics
Machine-learning models for perovskite solar cells are typically evaluated using random data splits, which we show systematically leak information through massive internal duplication. Because nearly two-thirds of curated devices share their exact recipe with another, random splits primarily reward
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