New Computer-Based Method Speeds Up Crystal Structure Determination

A NanoEngineering team, led by professor Kenneth Vecchio and his Ph.D. student Kevin Kaufmann, have developed a machine learning algorithm technique that can determine crystal structures in a less labor-intensive manner. This new method analyzes patterns in various materials and molecules with at least 95% accuracy. The team's work is published in Science

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