Machine learning predicts glass density and stiffness

A new machine learning model can predict the density and stiffness of glasses.

This information can aid in the design of better reinforcing fibers for strong and lightweight composite materials in automobiles and wind turbines.

Here, Liang Qi, a professor of materials science and engineering at the University of Michigan, answers questions about his group’s new paper in npj Computational Materials:

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