Predicting As$$_{x}$$Se$$_{1-x}$$ Glass Transition Onset Temperature

Abstract

The As–Se glass is a large subgroup in the class of chalcogenide glass, which is widely used in electronics and photonics. Glass transition onset temperature, $$T_{g}$$ , is an important thermal parameter that needs to be considered during manufacturing and practical applications. Numerous experimental and theoretical approaches have been conducted to investigate $$T_{g}$$ , but they tend to be resource-intensive and complicated. In this study, we develop the multivariate linear regression model to shed light on the relationship between physical attributes and As $$_{x}$$ Se $$_{1-x}$$ $$T_{g}$$ . The model is simple and highly accurate that contributes to fast estimations of $$T_{g}$$ .