A clustering and active learning workflow reduces the density functional theory data needed to train machine-learning models for perovskite alloys by up to 20% to 50% in validation tests.
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Efficient dataset generation for machine learning perovskite alloys
A clustering and active learning workflow reduces the density functional theory data needed to train machine-learning models for perovskite alloys by up to 20% to 50% in validation tests.