新型氢化锇的储氢、光电及结构性质

IF 2.1 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Shahid Mehmood, Zahid Ali, Shah Rukh Khan, Ashfaq Ahmad, Nasar Khan, Mohamed Mousa
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引用次数: 0

摘要

本研究采用密度泛函理论(DFT)分析了双钙钛矿型氢化物A2OsH6 (A = Mg-Ba)的结构、电子、光学和储氢特性。有关结构方面的研究结果与实验结果吻合较好。这些化合物均具有FCC结构和生成焓Hf,证明了它们的热力学稳定性。利用钙钛矿修饰的Becke-Johnson势(P-mBJ)和U参数,估计化合物的带隙值分别为3.4、3.0、2.43和1.86 eV。结果表明,从Mg到Ba,由于原子半径的增加,带隙减小。此外,所有候选化合物都具有直接带隙性质,其调谐带隙值与各向同性化合物的现有结果一致。Mg2OsH6具有紫外敏感性,Ca2OsH6、Sr2OsH6和Ba2OsH6在可见光区具有优异的光学性能。这些双钙钛矿型氢化物的特性介电函数、振荡强度、能量损失函数、激发系数、折射率、反射率和光电导率表明它们非常适合光电应用。而在储氢性能方面,Mg2OsH6的重量储氢量为2.77 wt%, Ca2OsH6的重量储氢量为2.59 wt%, Sr2OsH6的重量储氢量为2.15 wt%, Ba2OsH6的重量储氢量为1.22 wt%,这些化合物的有利解吸温度分别为189.46、220.76、311.19和356.37 K,形成能分别为24.76、28.85、40.67和46.58 kJ/mol,在实际应用中是可行的。方法本研究采用FP-LAPW方法,并在WEIN2k仿真代码中执行。采用广义梯度近似和带Hubbard U的mBJ来处理交换电位和相关电位。Kramar-Kroning关系用于光学性质的评估。分析技术用于确定这些化合物的重量储氢容量,而所有的绘图都是使用Xmgrace和Origen软件进行的。图形抽象
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hydrogen storage, optoelectronic, and structural properties of novel osmium hydrides

Context

In present study, the density functional theory (DFT) is employed to analyze the structural, electronic, optical, and hydrogen storage characteristics of double perovskite-type hydrides A2OsH6 (A = Mg-Ba). The reported findings related to the structural aspects are in good agreement with the experimental results. All these compounds exhibit the FCC structure and formation enthalpy Hf which demonstrate their thermodynamic stability. The estimated band gap values for these compounds are 3.4, 3.0, 2.43, and 1.86 eV respectively by using perovskite-modified Becke-Johnson potential (P-mBJ) plus U parameter. According to the results, as going from Mg to Ba, the band gap decreases because of the increase in atomic radii. Furthermore, all the understudy compounds hold direct band gap nature, and their tuned band gap values show significant agreement with available results on isotropic compounds. The Mg2OsH6 is ultraviolet sensitive, and Ca2OsH6, Sr2OsH6, and Ba2OsH6 possess excellent optical behavior in the visible region. The characteristic dielectric function, oscillator strength, energy loss function, excitation coefficient, refractive index, reflectivity, and optical conductivity of these double perovskites type hydride indicate that they are highly suitable for optoelectronic applications. However, in terms of hydrogen storage performance, the gravimetric storage capacity of Mg2OsH6 is 2.77 wt%, for Ca2OsH6 is 2.59 wt%, for Sr2OsH6 is 2.15 wt%, and for Ba2OsH6 is 1.22 wt% while the favorable desorption temperature for these compounds is 189.46, 220.76, 311.19, and 356.37 K respectively with the formation energy of 24.76, 28.85, 40.67, and 46.58 kJ/mol, which is feasible in actual application.

Method

In the current investigation, the FP-LAPW method is used which is executed in WEIN2k simulation code. The generalized gradient approximation and mBJ with Hubbard U are used to address the exchange and correlation potentials. The Kramar-Kroning relation is used for optical properties assessment. The analytical technique is used to find out the gravimetric hydrogen storage capacity for these compounds while all the plotting was performed using Xmgrace and Origen software.

Graphical Abstract

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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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