Thermodynamic modeling of pressure-dependent phase diagram in alkali metals Li, Na and K

IF 1.9 3区 材料科学 Q4 CHEMISTRY, PHYSICAL
Ying Yang, He Peng, Zhipeng Pi, Fan Zhang
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引用次数: 0

Abstract

The high-pressure behavior of the alkali metals has attracted much attention in both experimental and theoretical aspects. This study is focused on the thermodynamic optimization of the temperature and pressure dependence of the molar volumes, the compressibility and phase diagrams of Li, Na and K according to the CALPHAD method. The pressure-temperature phase diagrams of lithium, sodium and potassium up to 50–100 GPa were calculated using the obtained thermodynamic parameters. The available experimental data, such as extremely low melting temperatures at high pressure, pressure-induced structural transitions between simple bcc and fcc crystals and the molar volume changes with the increasing pressure, were well reproduced in our calculations. The good agreements between our calculations and the experiments assessed in the literature indicated that our thermodynamic parameters are reasonable. Our thermodynamic calculations would assist to understand the phase transitions and structural properties of alkali metals at high pressure.

碱金属 Li、Na 和 K 中与压力有关的相图的热力学建模
碱金属的高压行为在实验和理论方面都备受关注。本研究的重点是根据 CALPHAD 方法对锂、钠和钾的摩尔体积、可压缩性和相图的温度和压力依赖性进行热力学优化。利用所获得的热力学参数,计算了 50-100 GPa 下锂、钠和钾的压力-温度相图。我们的计算结果很好地再现了现有的实验数据,如高压下极低的熔化温度、简单 bcc 和 fcc 晶体之间的压力诱导结构转变以及摩尔体积随压力增加而发生的变化。我们的计算结果与文献中评估的实验结果一致,这表明我们的热力学参数是合理的。我们的热力学计算有助于理解高压下碱金属的相变和结构特性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.00
自引率
16.70%
发文量
94
审稿时长
2.5 months
期刊介绍: The design of industrial processes requires reliable thermodynamic data. CALPHAD (Computer Coupling of Phase Diagrams and Thermochemistry) aims to promote computational thermodynamics through development of models to represent thermodynamic properties for various phases which permit prediction of properties of multicomponent systems from those of binary and ternary subsystems, critical assessment of data and their incorporation into self-consistent databases, development of software to optimize and derive thermodynamic parameters and the development and use of databanks for calculations to improve understanding of various industrial and technological processes. This work is disseminated through the CALPHAD journal and its annual conference.
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