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Predicting As\(_{x}\)Se\(_{1-x}\) Glass Transition Onset Temperature

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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 \(T_{g}\).

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Authors and Affiliations

  1. North Carolina State University, Raleigh, NC, 27695, USA

    Yun Zhang & Xiaojie Xu

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  1. Yun Zhang
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  2. Xiaojie Xu
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Correspondence to Yun Zhang.

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Zhang, Y., Xu, X. Predicting As\(_{x}\)Se\(_{1-x}\) Glass Transition Onset Temperature. Int J Thermophys 41, 149 (2020). https://doi.org/10.1007/s10765-020-02734-4

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  • DOI: https://doi.org/10.1007/s10765-020-02734-4

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