The University of Wyoming's Lauren Kim has solved a persistent problem in the cutting-edge field of high-entropy alloys, a class of materials with great potential in modern engineering, electronics ...
Composed of five or more elements in nearly equal amounts, high-entropy alloys (HEAs) have emerged as promising catalysts due to their compositionally complex surfaces that can accelerate chemical ...
A new review in the Journal of Materials Science maps how machine learning, from graph neural networks to large language models, is accelerating the design of high-entropy alloy catalysts across vast ...
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