Limitations of AI-based material prediction: Crystallographic disorder represents a stumbling block

Computer simulations and artificial intelligence often make significant errors when predicting the properties of new, high-performance materials, according to a new international study led by the University of Bayreuth. In their research, published in Advanced Materials, the scientists provide tools to address this issue.

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