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 $$T_{g}$$ .

中文翻译：

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预测 As$$_{x}$$Se$$_{1-x}$$ 玻璃化转变起始温度

As-Se 玻璃是硫属化物玻璃类中的一个大亚组，广泛用于电子和光子学。玻璃化转变起始温度 $$T_{g}$$ 是制造和实际应用过程中需要考虑的重要热参数。已经进行了许多实验和理论方法来研究 $$T_{g}$$ ，但它们往往是资源密集型和复杂的。在这项研究中，我们开发了多元线性回归模型来阐明物理属性与 As $$_{x}$$ Se $$_{1-x}$$ $$T_{g}$$ 之间的关系。该模型简单且高度准确，有助于快速估计 $$T_{g}$$ 。