使用GW和Bethe-Salpeter方法对Cs2XInBr6 (X = Cu或Ag)双钙钛矿的光学性质进行了全面分析

IF 2.1 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Journal of Molecular Modeling Pub Date : 2025-01-06 DOI:10.1007/s00894-024-06265-9
Fatemeh Negahdari, Ali Mokhtari, Vishtasb Soleimanian
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引用次数: 0

摘要

勘探可再生和环境友好型能源已成为克服化石燃料枯竭及其环境危害的一项重大挑战。因此,太阳能电池技术作为一种替代解决方案,引起了许多研究者的兴趣。本文研究了Cs2XInBr6 (X = Cu或Ag)化合物作为无铅卤化物钙钛矿在太阳能范围内的直接能隙、热力学稳定性、电子有效质量低、吸收系数高等优点。用BS (GW)方法计算得到的Cs2AgInBr6化合物的光隙和静态折射率分别为1.35 (1.51)eV和1.47 (1.41)eV,与实验数据吻合较好。利用BS (GW)方法(对应于光隙)估计Cs2CuInBr6化合物的阈值吸收约为1.03(1.22)。两种化合物在红外、可见光和紫外区的反射系数都很小(< 0.35),吸收系数很高(105 cm−1)。在红外和可见光区域,铜基化合物的吸收系数比其他材料大得多,因此这种材料可以作为太阳能电池(SC)的吸收层更有用。由于到达地球的太阳光光谱包括47%的红外线、46%的可见光和7%的紫外线,因此cu基化合物对sc的效率更高,Cs2AgInBr6化合物更适合于探测器的设计。方法利用基于密度泛函理论(DFT)的Abinit计算包对Cs2XInBr6 (X = Cu或Ag)化合物的电子、结构和光学性质进行了计算和分析。电子交换相关势采用广义梯度近似(GGA)框架内的超软赝势,并用于计算电子和光学性质。波函数在平面波基础上扩展为截断能量为950 eV,并考虑了64个k点,k网格为4 × 4 × 4,用于布里渊区积分。利用RPA-GW(随机相位近似与GW能量)和Bethe-Salpeter形式模拟了介电函数的实部和虚部以及其他光学量的行为。
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Full analysis for the optical properties of the Cs2XInBr6 (X = Cu or Ag) double perovskites using both GW and Bethe–Salpeter approaches

Context

Exploration for renewable and environmentally friendly energy sources has become a major challenge to overcome the depletion of fossil fuels and their environmental hazards. Therefore, solar cell technology, as an alternative solution, has attracted the interest of many researchers. In the present work, the Cs2XInBr6 (X = Cu or Ag) compounds as lead-free halide perovskites have been studied due to their direct energy gap in the range of solar energy, thermodynamic stability, low effective mass of electrons, and high absorption coefficient. The calculated optical gap and static refractive index about 1.35 (1.51) eV and 1.47 (1.41), respectively using BS (GW) approach for the Cs2AgInBr6 compound were in good agreement with experimental data. The threshold absorption was estimated about 1.03 (1.22) using BS (GW) approach (which correspond to the optical gap) for the Cs2CuInBr6 compound. Both compounds have small (< 0.35) reflection coefficient in the infrared, visible and UV regions and high absorption coefficient (105 cm−1). In the infrared and visible regions, the absorption coefficient of the Cu-based compound is much larger than the other, therefore this material can be more useful as an absorbent layer in solar cells (SC). Due to the fact that the spectrum of sunlight that reaches the earth includes 47% infrared, 46% visible and 7% ultraviolet, the Cu-based compound is more efficient for the SCs and the Cs2AgInBr6 compound is more suitable in the design of detectors.

Methods

The electronic, structural and optical properties of Cs2XInBr6 (X = Cu or Ag) compounds have been calculated and analyzed using the Abinit computational package based on density functional theory (DFT). The ultrasoft pseudopotentials within the framework of the generalized gradient approximation (GGA) are adopted for the electron exchange–correlation potential and are employed for the calculations of the electronic, and optical properties as well. The wave functions have expanded on a plane-wave basis set to cutoff energy of 950 eV and 64 k-points with a k-mesh of 4 × 4 × 4 are considered for the integrations over the Brillouin zone. The behavior of the real and imaginary parts of the dielectric function and other optical quantities have been simulated using both RPA-GW (random phase approximation with GW energies) and Bethe–Salpeter formalisms.

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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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