Suppr超能文献

二维反铁磁体中的磁序由自发各向异性磁致伸缩揭示。

Magnetic order in 2D antiferromagnets revealed by spontaneous anisotropic magnetostriction.

作者信息

Houmes Maurits J A, Baglioni Gabriele, Šiškins Makars, Lee Martin, Esteras Dorye L, Ruiz Alberto M, Mañas-Valero Samuel, Boix-Constant Carla, Baldoví Jose J, Coronado Eugenio, Blanter Yaroslav M, Steeneken Peter G, van der Zant Herre S J

机构信息

Kavli Institute of Nanoscience, Delft University of Technology, Lorentzweg 1, 2628 CJ, Delft, The Netherlands.

Instituto de Ciencia Molecular (ICMol), Universitat de València, c/Catedrático José Beltrán 2, 46980, Paterna, Spain.

出版信息

Nat Commun. 2023 Dec 21;14(1):8503. doi: 10.1038/s41467-023-44180-4.

Abstract

The temperature dependent order parameter provides important information on the nature of magnetism. Using traditional methods to study this parameter in two-dimensional (2D) magnets remains difficult, however, particularly for insulating antiferromagnetic (AF) compounds. Here, we show that its temperature dependence in AF MPS (M(II) = Fe, Co, Ni) can be probed via the anisotropy in the resonance frequency of rectangular membranes, mediated by a combination of anisotropic magnetostriction and spontaneous staggered magnetization. Density functional calculations followed by a derived orbital-resolved magnetic exchange analysis confirm and unravel the microscopic origin of this magnetization-induced anisotropic strain. We further show that the temperature and thickness dependent order parameter allows to deduce the material's critical exponents characterising magnetic order. Nanomechanical sensing of magnetic order thus provides a future platform to investigate 2D magnetism down to the single-layer limit.

摘要

温度依赖序参量提供了有关磁性本质的重要信息。然而,使用传统方法研究二维(2D)磁体中的这一参量仍然困难,特别是对于绝缘反铁磁(AF)化合物。在此,我们表明,通过矩形膜共振频率的各向异性,可以探测AF MPS(M(II)=Fe、Co、Ni)中其温度依赖性,这是由各向异性磁致伸缩和自发交错磁化的组合介导的。随后进行的密度泛函计算以及导出的轨道分辨磁交换分析证实并揭示了这种磁化诱导各向异性应变的微观起源。我们进一步表明,温度和厚度依赖序参量能够推导出表征磁序的材料临界指数。因此,磁序的纳米机械传感为研究直至单层极限的二维磁性提供了一个未来平台。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea49/10739885/412c1e4fb472/41467_2023_44180_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验