论文标题
哪些玻璃稳定性参数可以评估氧化物系统的玻璃形成能力？
Which glass stability parameters can assess the glass-forming ability of oxide systems?
论文作者
论文摘要
玻璃形成能力（GFA）是玻璃科学和技术中最重要的特性。在本文中，我们使用了一种统计方法---涉及自举采样和Wilcoxon测试 - 找出哪些玻璃稳定性参数可以更好地预测玻璃形成能力。我们收集或测量了经历了主要异质成核（最常见的情况）的十二个化学计量氧化物玻璃的必要数据。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GFA的表现较差。参数$ k_w $是排名最高的，紧随其后的是$ k_h $，$γ$，$ h^{'} $，$Δt_t_{rg} $和$ k_ {cr} $。我们的结果证实了先前的报告，使用较少的眼镜，更少的GS参数和较少严格的统计数据进行了证实。我们还发现，使用$ t_c $而不是$ t_x $提高了这些参数的预测能力。最后，耶西卡（Jezica）是此处考虑的唯一预测GFA的参数，而无需生产玻璃件（即，不依赖任何结晶信息），在我们的分析中排名很高。
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 parameters can better predict the glass forming ability. We collected or measured the necessary data for twelve stoichiometric oxide glasses that underwent predominant heterogeneous nucleation (the most common case). We found that some GS parameters could predict the GFA of these oxide glasses quite well, whereas others perform poorly. Parameter $K_w$ was the top ranked, closely followed by the $K_H$, $γ$, $H^{'}$, $ΔT_{rg}$, and $K_{cr}$. 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, the only parameter considered here that predicts the GFA without requiring the production of a glass piece (i.e., without relying on any crystallization information), ranked reasonably well in our analysis.
