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Predicting glass structure by physics-informed machine learning

Chemistry

Predicting glass structure by physics-informed machine learning

M. L. Bødker, M. Bauchy, et al.

This groundbreaking research by Mikkel L. Bødker, Mathieu Bauchy, Tao Du, John C. Mauro, and Morten M. Smedskjaer unveils a novel physics-informed machine learning model that predicts the complex relationships between composition and structure in oxide glasses with remarkable accuracy.

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~3 min • Beginner • English
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