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arXiv 2402.00151cond-mat.mtrl-sci
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应变诱导的反铁磁到交叠铁磁(altermagnet)相变

Strain induced phase transition from antiferromagnet to altermagnet

Atasi Chakraborty, Rafael González Hernández, Libor šmejkal, Jairo Sinova

AI总结:

本研究针对交叠铁磁体应用中可控相变的关键挑战,通过自旋群分析与从头算证明压应变可诱导ReO₂从反铁磁相转变为交叠铁磁相,且伴随金属-绝缘体转变,其自旋极化谱可通过角分辨光电子能谱检测。

摘要:

新发现的交叠铁磁体(altermagnets)是非常规的共线补偿磁性系统,在能带结构中表现出偶宇称(d波、g波或i波)自旋极化序,这使其区别于传统的共线铁磁体和反铁磁体。交叠铁磁体兼具类似铁磁体的自旋极化电流优势,以及类似反铁磁体的太赫兹(THz)功能特性,还能产生自旋分裂电流等全新效应。 对于交叠铁磁体未来的应用与功能化而言,一个关键挑战是证明在单一材料中可实现从其他传统相到交叠铁磁相的可控转变。本文提出了一条克服该挑战的可行路径:在ReO₂中实现由应变诱导的反铁磁相到交叠铁磁相的转变。结合自旋群对称性分析与从头算(ab-initio)计算,我们证明在压应变作用下,ReO₂会发生上述相变,在非相对论区域解除反铁磁相能带结构的克莱默(Kramer)简并。此外,我们发现该磁性相变伴随金属-绝缘体转变,并计算了两相的不同自旋极化谱函数,这些特征可通过角分辨光电子能谱实验检测到。

英文摘要:

The newly discovered altermagnets are unconventional collinear compensated magnetic systems, exhibiting even (d, g, or i-wave) spin-polarization order in the band structure, setting them apart from conventional collinear ferromagnets and antiferromagnets. Altermagnets offer advantages of spin polarized current akin to ferromagnets, and THz functionalities similar to antifferomagnets, while introducing new novel effects like spin-splitter currents. A key challenge for future applications and functionalization of altermagnets, is to demonstrate controlled transitioning to the altermagnetic phase from other conventional phases in a single material. Here we prove a viable path towards overcoming this challenge through a strain-induced transition from an antiferromagnetic to an altermagnetic phase in ReO$_2$. Combining spin group symmetry analysis and \textit{ab-initio} calculations, we demonstrate that under compressive strain ReO$_2$ undergoes such transition, lifting the Kramer's degeneracy of the band structure of the antiferromagnetic phase in the non-relativistic regime. In addition, we show that this magnetic transition is accompanied by a metal insulator transition, and calculate the distinct spin polarized spectral functions of the two phases, which can be detected in angle resolved photo-emission spectroscopy experiments.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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