Glass transition temperatures are determined through, for instance, calorimetry, but maybe machine learning models can predict them. Here, researchers test this idea with published data as input for the model, to find a close correlation between predicted and experimental values. 

中文翻译：

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用于过渡的算法外观


玻璃化转变温度是通过量热法等方法确定的，但也许机器学习模型可以预测它们。在这里，研究人员使用已发布的数据作为模型的输入来测试这一想法，以发现预测值和实验值之间的密切相关性。