Glass‐forming ability (GFA) is a property of utmost importance in glass science and technology. In this paper, we used a statistical methodology—involving bootstrap sampling and the Wilcoxon test—to find out which glass stability (GS) parameters best predict the GFA. The GS parameters are based on the characteristic temperatures: glass transition temperature (T_g), onset of crystallization (T_x), crystallization peak (T_c) and liquidus (T_l). We collected the necessary data for twelve stoichiometric oxide glasses using finely ground powders to favor heterogeneous nucleation (the most common case). We found that some GS parameters predict the GFA of these oxide glasses quite well, whereas others perform poorly. The Weinberg parameter K_w = (T_c − T_g)/T_l ranked first, closely followed by the Hrüby and the Lu‐Liu parameter. Our results corroborate previous reports carried out using a smaller number of glasses, much less GS parameters, and less rigorous statistics. We also found that using T_c instead of T_x improved the predictive power of these parameters. Finally, the Jezica = η (T_l)/T_l² (η = viscosity) parameter also ranked reasonable well, and it is the only parameter considered here that predicts the GFA without requiring the production of a glass piece, ie, without relying on any crystallization information.

中文翻译：

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哪些玻璃稳定性参数可以评估氧化物体系的玻璃形成能力？

玻璃形成能力（GFA）是玻璃科学和技术中最重要的属性。在本文中，我们使用了一种统计方法-包括自举采样和Wilcoxon测试-找出哪种玻璃稳定性（GS）参数最能预测GFA。GS参数基于特征温度：玻璃化转变温度（T _g），结晶开始（T _x），结晶峰（T _c）和液相线（T _l）。我们收集了十二种使用精细研磨粉末以促进异相成核的化学计量氧化玻璃的必要数据（最常见的情况）。我们发现，某些GS参数可以很好地预测这些氧化物玻璃的GFA，而其他参数则性能较差。Weinberg参数K _w  =（T _c  -  T _g）/ T _l排名第一，紧随其后的是Hrüby和Lu-Liu参数。我们的结果证实了以前使用较少数量的眼镜，少得多的GS参数和不那么严格的统计数据进行的报告。我们还发现使用T _c代替T _x改善了这些参数的预测能力。最后，Jezica  =  η（T _l）/ T _l ²（η  =粘度）参数也排名合理，这是此处考虑的唯一可预测GFA而无需生产玻璃件（即无需依赖）的参数。关于任何结晶信息。