Exploring negative linear compressibility in the orthorhombic polymorph of ScF3 space group C222 under high pressure

IF 2.5 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Houda El Hyani, Haris Habib, Li Gong
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引用次数: 0

Abstract

This study investigates the orthorhombic polymorph of ScF3 (C222) under hydrostatic pressure, revealing negative linear compressibility (NLC) along the b-axis. First-principles calculations show anisotropic expansion (b-axis) and contraction (a-, c-axes), with compressibility coefficients quantified up to 40 GPa. The findings advance the understanding of pressure-induced behaviors in ScF3 and its potential for functional materials design.

First-principles calculations were performed using density functional theory (DFT) within the generalized gradient approximation (GGA) framework as implemented in CASTEP. Lattice parameters and elastic properties were computed under varying pressure conditions. The Pascal program was used to determine compressibility coefficients and analyze NLC behavior. Computational settings, including energy cutoffs, k-point sampling, and convergence criteria, were optimized for accuracy and stability.

探索高压下ScF3空间群C222正交多晶的负线性可压缩性
本研究研究了ScF3 (C222)在静水压力下的正交多晶态,揭示了沿b轴的负线性压缩率(NLC)。第一性原理计算显示各向异性膨胀(b轴)和收缩(a轴,c轴),压缩系数量化到40 GPa。这些发现促进了对ScF3中压力诱导行为的理解及其在功能材料设计中的潜力。在CASTEP实现的广义梯度近似(GGA)框架内,使用密度泛函理论(DFT)进行第一性原理计算。计算了不同压力条件下晶格参数和弹性性能。利用Pascal程序确定了压缩系数,分析了NLC的性能。计算设置,包括能量截止点,k点采样和收敛准则,优化了准确性和稳定性。
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
Journal of Molecular Modeling
Journal of Molecular Modeling 化学-化学综合
CiteScore
3.50
自引率
4.50%
发文量
362
审稿时长
2.9 months
期刊介绍: The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling. Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry. Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.
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