重度铁掺杂砷化镓的磁光特性:一种密度泛函方法

IF 2.9 3区 化学 Q3 CHEMISTRY, PHYSICAL
Juliana Zarpellon, Dante Homero Mosca, J Varalda
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引用次数: 0

摘要

研究了重铁掺杂砷化镓的磁光特性。主要利用接近费米能级的自旋极化电子能带结构讨论了复介电常数、光导率和吸收系数。此外,还介绍并讨论了可见光和紫外线区域的突出磁光特性,包括磁圆二色性以及复杂的克尔角和法拉第旋转角。密度泛函方法和一些实验结果表明,在砷或镓位点掺入 25% 铁的砷化镓是一种很有前途的铁磁材料,是光电和自旋电子器件应用的有用平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Magneto-optical properties of heavily Fe-doped GaAs: a density functional approach
The magneto-optical properties of heavily iron-doped GaAs are investigated. Complex permittivity, optical conductivity and absorption coefficient are mainly discussed by using spin-polarized electronic band structures close to the Fermi energy level. Furthermore, prominent magneto-optical properties in visible light and ultraviolet regions, including magnetic circular dichroism as well as complex Kerr and Faraday rotation angles are presented and discussed. Density functional approach corroborated by some experimental results indicates that GaAs with 25% Fe dopants either in As or Ga sites is a promising ferromagnetic material and useful platform for optoelectronic and spintronic device applications.
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来源期刊
Physical Chemistry Chemical Physics
Physical Chemistry Chemical Physics 化学-物理:原子、分子和化学物理
CiteScore
5.50
自引率
9.10%
发文量
2675
审稿时长
2.0 months
期刊介绍: Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.
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