在压力下调制InGeF3钙钛矿的电子和光学性质:一种计算方法

IF 1.7 4区 物理与天体物理 Q3 PHYSICS, CONDENSED MATTER
Mohammed Miri, Younes Ziat, Hamza Belkhanchi, Ayoub Koufi, Youssef Ait El Kadi
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引用次数: 0

摘要

本研究通过Wien2k代码,利用密度泛函理论(DFT)探讨了InGeF3钙钛矿在不同压力下的结构、力学、电子和光学性质。弹性常数满足0 GPa时的力学稳定性标准,在压力下的延性和硬度有显著提高。电子分析显示,间接带隙在0 GPa时为1.51 eV,在9 GPa时缩小至0.67 eV,标志着向金属行为的转变。态密度表明卤素在价带中占主导地位,铟和锗在导带中有显著贡献。光学性质,如吸收和反射率,在压力下演变,吸收光谱向低能量方向移动。这些发现表明,压力不仅可以改变InGeF3的电子结构,还可以增强其光学性能,使其成为光伏应用的潜在候选者。图摘要:nGeF3在0 GPa、3 GPa、6 GPa和9 GPa压力下能量对应的吸收系数;b) InGeF3的电导率与0 GPa、3 GPa、6 GPa和9 GPa压力下能量的比值
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modulating the electronic and optical properties of InGeF3 perovskite under pressure: a computational approach

This study explores the structural, mechanical, electronic and optical properties of InGeF3 perovskite under varying pressures using density functional theory (DFT) via the Wien2k code. Elastic constants meet mechanical stability criteria at 0 GPa, with a notable improvement in ductility and hardness under pressure. Electronic analysis reveals an indirect band gap of 1.51 eV at 0 GPa, narrowing to 0.67 eV at 9 GPa, signaling a transition to metallic behavior. The density of states shows the dominance of halogens in the valence band, and significant contributions from indium and germanium in the conduction band. Optical properties, such as absorption and reflectivity, evolve under pressure, with a shift of the absorption spectrum toward lower energies. These findings demonstrate that pressure not only modifies the electronic structure of InGeF3 but also enhances its optical performance, making it a potential candidate for photovoltaic applications.

Graphical abstract

a) Absorption coefficient corresponding to the energy under pressure 0 GPa, 3 GPa, 6 GPa and 9 GPa for nGeF3, b) Conductivity versus energy under pressure 0 GPa, 3 GPa, 6 GPa and 9 GPa GPa of InGeF3

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来源期刊
The European Physical Journal B
The European Physical Journal B 物理-物理:凝聚态物理
CiteScore
2.80
自引率
6.20%
发文量
184
审稿时长
5.1 months
期刊介绍: Solid State and Materials; Mesoscopic and Nanoscale Systems; Computational Methods; Statistical and Nonlinear Physics
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