Suppr超能文献

具有局部四面体几何结构的MX网络中热力学异常的进展。

The progression of thermodynamic anomalies in MX networks with local tetrahedral geometries.

作者信息

Fijan Domagoj, Wilson Mark

出版信息

J Phys Condens Matter. 2020 Jun 24;32(27):275102. doi: 10.1088/1361-648X/ab7d63.

Abstract

Key thermodynamic anomalies in density and compressibility, as well as the related stability limits, are determined using an ionic model for BeF which includes many-body polarization terms. BeF is chosen as an example of an archetypal network-forming system whose structure can be rationalised in terms of connected local tetrahedral coordination polyhedra. The anion dipole polarizability (which effectively controls the bond angles linking neighbouring tetrahedra) is used as a single free parameter in order to help rationalise the changes in the anomaly locations in phase space, whilst all other potential parameters remain fixed. The anomalies and stability limits systematically shift to lower temperature and higher pressure as the anion polarizability is increased. At high dipole polarizabilities the temperature of maximum density anomaly locus becomes suppressed into the supercooled regime of the phase space. The movements of the anomaly loci are analysed in terms of the network structure and the correlation with the inter-tetrahedral bond angles is considered. The high sensitivity of the anomalies to the details of the potential models applied is discussed with reference to previous works on related systems. The relationship to analogous studies on Stillinger-Weber liquids is discussed.

摘要

利用包含多体极化项的BeF离子模型,确定了密度和压缩性方面的关键热力学异常以及相关的稳定性极限。选择BeF作为典型网络形成系统的示例,其结构可以通过连接的局部四面体配位多面体来合理化。阴离子偶极极化率(它有效地控制连接相邻四面体的键角)被用作单个自由参数,以帮助合理化相空间中异常位置的变化,而所有其他势能参数保持固定。随着阴离子极化率的增加,异常和稳定性极限系统地向更低温度和更高压力移动。在高偶极极化率下,最大密度异常轨迹的温度被抑制到相空间的过冷区域。根据网络结构分析异常轨迹的移动,并考虑与四面体间键角的相关性。参考先前关于相关系统的研究,讨论了异常对所应用势能模型细节的高敏感性。还讨论了与Stillinger-Weber液体类似研究的关系。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验