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MIT researchers develop a customized onboarding process that helps a human learn when a model’s advice is trustworthy.
The advance opens a path to next-generation devices with unique optical and electronic properties.
Using machine learning, the computational method can provide details of how materials work as catalysts, semiconductors, or battery components.