Discovery of High-Entropy Ceramics Via Machine Learning

NanoEngineering professor, Kenneth Vecchio, and his research lab is developing tools for screening large numbers of materials at an increasing rate. The method that Dr. Vecchio's team has developed is data-driven and they expect this machine learning framework to be useful in the development of materials such as alloys, battery components, or pharmaceuticals.

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