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.
Read MoreResearchers 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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