glass transition temperature

Modeling teaches old dogs new tricks: Viscosity predictions from dilatometry and DSC

By Jonathon Foreman / July 31, 2020

Determining viscosity of a glass through experiment is a slow and expensive process. In two recent papers published in JACerS, Penn State professor John Mauro and his colleagues show how it can be predicted much easier by using dilatometry and DSC to calculate parameters for a glass viscosity model that was proposed in 2009.

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Neural networks predict glass transition temperatures

By Lisa McDonald / November 20, 2018

Researchers trained an artificial neural network to predict glass transition temperatures of never-before-made glass compositions. The software will soon be freely available as a web application.

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