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arXiv 2102.07050cond-mat.str-el
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Co3Sn2S2中的反常交换耦合和中温Weyl态

Unusual exchange couplings and intermediate temperature Weyl state in Co3Sn2S2

Qiang Zhang, Satoshi Okamoto, German D. Samolyuk, Matthew B. Stone, Alexander I. Kolesnikov, Rui Xue, Jiaqiang Yan, Michael A. McGuire, David Mandrus, D. Alan Tennant

摘要:

了解磁性及其与拓扑性质的可能相关性已成为研究磁性外尔半金属的前沿和难点课题。Co $_{3}$ Sn $_{2}$ S $_{2}$是一种新发现的磁性Weyl半金属,具有可果美钴离子晶格结构。在这里,我们报告的磁交换耦合Co $_{3}$ Sn $_{2}$ S $_{2}$使用非弹性中子散射和两个密度泛函理论(DFT)为基础的方法:约束磁性和多重散射格林函数方法。Co $_{3}$ Sn $_{2}$ S $_{2}$表现出高度各向异性的磁振子色散和低于$T_{C}$的线宽,以及高于$T_{C}$的顺磁激发。铁磁基态的自旋波谱可用占主导地位的第三近邻“十字六边形”$J_{d}$模型描述。我们的密度泛函理论计算表明,这两个120 $^\circ$反铁磁序允许支持Weyl点在中温区,不同的数量和位置的Weyl点。我们的研究强调了Co $_{3}$ Sn $_{2}$ S $_{2}$在促进我们对戈薇物理学的理解和探索磁性与能带拓扑之间的相互作用方面可以发挥的重要作用。

英文摘要:

Understanding the magnetism and its possible correlations to the topological properties has emerged as a forefront and difficult topic in studying magnetic Weyl semimetals. Co$_{3}$Sn$_{2}$S$_{2}$ is a newly discovered magnetic Weyl semimetal with a kagome lattice of cobalt ions and has triggered intense interest for rich fantastic phenomena. Here, we report the magnetic exchange couplings of Co$_{3}$Sn$_{2}$S$_{2}$ using inelastic neutron scattering and two density functional theory (DFT) based methods: constrained magnetism and multiple-scattering Green's function methods. Co$_{3}$Sn$_{2}$S$_{2}$ exhibits highly anisotropic magnon dispersions and linewidths below $T_{C}$, and paramagnetic excitations above $T_{C}$. The spin-wave spectra in the ferromagnetic ground state is well described by the dominant third-neighbor "across-hexagon" $J_{d}$ model. Our density functional theory calculations reveal that both the symmetry-allowed 120$^\circ$ antiferromagnetic orders support Weyl points in the intermediate temperature region, with distinct numbers and the locations of Weyl points. Our study highlights the important role Co$_{3}$Sn$_{2}$S$_{2}$ can play in advancing our understanding of kagome physics and exploring the interplay between magnetism and band topology.

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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