Perovskite PrFeO3 的结构、电子、光学、热电和磁特性:DFT 和蒙特卡罗模拟。

IF 2.1 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
S. Benyoussef, A. Jabar, S. Idrissi, N. Tahiri, L. Bahmad
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引用次数: 0

摘要

背景:如今,具有不同成分和结构的过氧化物材料因其在各种工业和技术领域的潜在应用而备受关注。在此,我们利用密度泛函理论和蒙特卡罗模拟研究了包晶石 PrFeO3 的结构、电子、光学、热力学、热电和磁学特性。优化结果表明,铁磁相比反铁磁相更稳定。在 GGA + SOC + U 和 GGA + mBJ 方法下,PrFeO3 化合物的电子结果显示了半金属和磁性行为。研究还证明,引入扩张应变可有效提高 PrFeO3 的机械稳定性和热稳定性。此外,光学特性表明,这种材料具有吸收紫外线(UV)光谱光的能力,因此具有太阳能电池的潜在用途。塞贝克系数的最大值在 1000 K 时达到 90 µV/K,表明 PrFeO3 有潜力成为一种高效的热电材料。磁性能在 171.44 K 时出现自旋重新定向(TSR)的第一阶转变,随后在 707.15 K 时出现第二阶转变:为了进行这项研究,我们采用了 Wien2k 软件包中的密度泛函理论(DFT)。为了确定交换相关势,我们采用了 GGA-PBE(Perdew、Burke 和 Ernzerhof)方法。SOC 是基于使用标量相对论波函数的二次变分法加入的,Fe 和 Pr 的电子-电子库仑相互作用是以旋转不变的 GGA + SOC + U 方式考虑的。本文采用有效参数 Ueff = U - J,其中 U 和 J 分别代表库仑参数和交换参数。此外,我们还选择了修正的贝克-约翰逊势(mBJ)进行比较。热力学性质是通过 Gibbs2 软件程序使用准谐波德拜模型获得的。在计算热电系数时,我们利用 BoltzTrap 代码,在刚性带近似(RBA)和恒定散射时间近似(CSTA)的条件下,将第一原理带状结构计算和玻尔兹曼输运理论结合起来。随后,我们通过蒙特卡罗模拟深入研究了磁卡和磁特性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The structural, electronic, optical, thermoelectric, and magnetic properties of the Perovskite PrFeO3: DFT and Monte Carlo simulations

The structural, electronic, optical, thermoelectric, and magnetic properties of the Perovskite PrFeO3: DFT and Monte Carlo simulations

Context

Nowadays, Perovskite materials with diverse compositions and structures have garnered significant attention for their potential applications across various industrial and technological fields. Here, we investigated the structural, electronic, optical, thermodynamic, thermoelectric, and magnetic properties of perovskite PrFeO3 using density functional theory and Monte Carlo simulations. The optimization results demonstrate that the ferromagnetic phase is more stable than the antiferromagnetic phase. Under the GGA + SOC + U and GGA + mBJ approaches, the electronic results of the PrFeO3 compound expose the half-metallic and magnetic behavior. It was also demonstrated that introducing dilatation strain can effectively enhance both the mechanical and thermal stability of PrFeO3. Additionally, the optical properties show that this material has potential uses for solar cells because of its capacity to absorb light in the ultraviolet (UV) spectrum. The maximum values of the Seebeck coefficient reach 90 µV/K at 1000 K, indicating the potential of PrFeO3 as an efficient thermoelectric material. The magnetic properties exhibit a first transition of spin reorientation (TSR) at 171.44 K, followed by a second-order transition at 707.15 K. This investigation provides valuable insights into the unstudied aspect of Perovskite PrFeO₃.

Methods

To carry out this investigation, we employed the density functional theory (DFT) implemented in the Wien2k package. To determine the exchange–correlation potential, we utilized the GGA-PBE (Perdew, Burke, and Ernzerhof) approach. The SOC was included based on the second-variational method using scalar relativistic wavefunctions, and electron–electron Coulomb interactions for Fe and Pr are considered in the rotationally invariant way GGA + SOC + U. In this paper, the effective parameter Ueff = U − J was adopted, where U and J stand for the Coulomb and exchange parameters, respectively. Also, we opted for the modified Becke–Johnson potential (mBJ) for comparison. The thermodynamic properties are obtained using the quasi-harmonic Debye model via Gibbs2 software programs. For the calculation of thermoelectric coefficients, a combination of first-principles band structure calculations and the Boltzmann transport theory within the rigid band approximation (RBA) and the constant scattering time approximation (CSTA) was employed, utilizing the BoltzTrap code. Subsequently, we delve into the magneto-caloric and magnetic properties by employing Monte Carlo simulations.

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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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