Disorder-induced magnetoelastic behavior of MnTexSbyBi1-x-y alloys

IF 13.1 1区 材料科学 Q1 CHEMISTRY, PHYSICAL
P. R. Raghuvanshi, X. Li, T. Berlijn, A. Ghosh, D. S. Parker, V. R. Cooper, L. Lindsay
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引用次数: 0

Abstract

Compositional tuning between materials with contrasting magnetic and electronic properties can induce behaviors absent in their end members. In this paper, we demonstrate that in mixed MnTe-MnSb-MnBi alloy systems, the competition between MnTe, an antiferromagnetic (AFM) semiconductor with altermagnetic band symmetry, and the ferromagnetic (FM) metals MnSb and MnBi drives several composition-dependent transitions. Using first-principles calculations of disordered supercells we reveal that an AFM-FM boundary near MnTe0.75Sb0.25 exhibits a pronounced magnetoelastic response, disorder-induced phonon broadening, and a semiconductor-to-metal crossover. These effects are associated with enhanced fluctuations in local bonding and interatomic force constants near the AFM-FM crossover. This work elucidates how magnetic competition and local chemical disorder shape the structural, vibrational, and electronic behaviors of MnTexSbyBi1-x-y alloys, thereby driving large magnetoelastic responses.
MnTexSbyBi1-x-y合金的无序诱导磁弹性行为
磁性和电子性质不同的材料之间的成分调谐可以诱导端元中不存在的行为。在本文中,我们证明了在混合MnTe-MnSb-MnBi合金体系中,MnTe(一种具有互磁带对称性的反铁磁(AFM)半导体)与铁磁(FM)金属MnSb和MnBi之间的竞争驱动了几个成分依赖的跃迁。利用无序超级电池的第一性原理计算,我们发现在MnTe0.75Sb0.25附近的AFM-FM边界表现出明显的磁弹性响应、无序诱导声子加宽和半导体-金属交叉。这些效应与AFM-FM交叉附近的局部键和原子间力常数的增强波动有关。这项工作阐明了磁竞争和局部化学无序如何塑造MnTexSbyBi1-x-y合金的结构、振动和电子行为,从而驱动大的磁弹性响应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
npj Computational Materials
npj Computational Materials Mathematics-Modeling and Simulation
CiteScore
15.30
自引率
5.20%
发文量
229
审稿时长
6 weeks
期刊介绍: npj Computational Materials is a high-quality open access journal from Nature Research that publishes research papers applying computational approaches for the design of new materials and enhancing our understanding of existing ones. The journal also welcomes papers on new computational techniques and the refinement of current approaches that support these aims, as well as experimental papers that complement computational findings. Some key features of npj Computational Materials include a 2-year impact factor of 12.241 (2021), article downloads of 1,138,590 (2021), and a fast turnaround time of 11 days from submission to the first editorial decision. The journal is indexed in various databases and services, including Chemical Abstracts Service (ACS), Astrophysics Data System (ADS), Current Contents/Physical, Chemical and Earth Sciences, Journal Citation Reports/Science Edition, SCOPUS, EI Compendex, INSPEC, Google Scholar, SCImago, DOAJ, CNKI, and Science Citation Index Expanded (SCIE), among others.
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