arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 2403.03041cond-mat.stat-mech
收藏

过冷液体非加和随机模型的概念验证

Proof-of-concept for a nonadditive stochastic model of supercooled liquids

Antonio Cesar do Prado Rosa Junior, Elias Brito Alves Junior, Wanisson Silva Santana, Clebson Cruz

AI总结:

本研究对非加和随机模型(NSM)进行概念验证,通过拟合25种玻璃形成液体的黏度实验数据并与VFT、AM、MYEGA等模型对比,证实其可有效表征过冷液体的非阿伦尼乌斯行为,是衡量玻璃形成液体脆性的可靠指标。

摘要:

近期提出的非加和随机模型(non-additive stochastic model,NSM)为玻璃形成体系中的扩散现象提供了自洽的物理解释。该模型呈现出黏度、活化能与温度之间的非指数关系,可表征过冷液体中观测到的非阿伦尼乌斯行为。本研究将NSM黏度方程拟合至25种玻璃形成液体的实验温度依赖黏度数据,并将拟合参数与采用Vogel-Fulcher-Tammann(VFT)模型、Avramov-Milchev(AM)模型及Mauro-Yue-Ellison-Gupta-Allan(MYEGA)模型所得的结果进行对比。结果表明,相较于其他成熟模型(VFT、AM和MYEGA),NSM为黏度实验数据建模提供了有效的拟合方程,可表征脆性液体的活化能,是衡量玻璃形成液体脆性程度的可靠指标。

英文摘要:

The recently proposed non-additive stochastic model (NSM) offers a coherent physical interpretation for diffusive phenomena in glass-forming systems. This model presents non-exponential relationships between viscosity, activation energy, and temperature, characterizing the non-Arrhenius behavior observed in supercooled liquids. In this work, we fit the NSM viscosity equation to experimental temperature-dependent viscosity data corresponding to twenty-five glass-forming liquids and compare the fit parameters with those obtained using the Vogel-Fulcher-Tammann (VFT), Avramov-Milchev (AM), and Mauro-Yue-Ellison-Gupta-Allan (MYEGA) models. The results demonstrate that the NSM provides an effective fitting equation for modeling viscosity experimental data in comparison with other established models (VFT, AM and MYEGA), characterizing the activation energy in fragile liquids, presenting a reliable indicator of the degree of fragility of the glass-forming liquids.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑