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Deep learning aided rational design of oxide glasses

R. Ravinder, Karthikeya H. Sridhara, Suresh Bishnoi, Hargun Singh Grover, Mathieu Bauchy, Jayadeva, Hariprasad Kodamana, N. M. Anoop Krishnan

2020Materials Horizons102 citationsDOI

Abstract

Designing new glasses requires<italic>a priori</italic>knowledge of how the composition of a glass dictates its properties such as stiffness, density, or processability. Developing multi-property design charts, namely, glass selection charts, using deep learning can enable discovery of novel glasses with targeted properties.

Topics & Concepts

Materials scienceRational designProperty (philosophy)NanotechnologyComputer sciencePhilosophyEpistemologyGlass properties and applicationsPigment Synthesis and PropertiesPhase-change materials and chalcogenides
Deep learning aided rational design of oxide glasses | Litcius