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arXiv 2401.00516cond-mat.mtrl-sci
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过渡金属单层由二维六方氮化硼诱导的kagomerization

Kagomerization of transition metal monolayers induced by two-dimensional hexagonal boron nitride

Hangyu Zhou, Manuel dos Santos Dias, Youguang Zhang, Weisheng Zhao, Samir Lounis

AI总结:

该研究通过第一性原理证明,六方氮化硼覆盖层可诱导过渡金属单层重构为kagome晶格,并稳定拓扑磁孤子,展示了h-BN主动调控材料结构和磁性的潜力。

摘要:

kagome晶格是一个令人兴奋的固态物理平台,用于电子关联驱动的非平凡量子态的出现:拓扑效应、非常规超导、电荷和自旋密度波,以及诸如量子自旋液体等不寻常的磁态。虽然kagome晶格已在复杂的多原子体材料中实现,但我们在此从第一性原理展示了一个我们称之为kagomerization的过程,在该过程中,我们利用六方氮化硼(h-BN)覆盖层在过渡金属单层中制造二维kagome晶格。令人惊讶的是,h-BN诱导了负载在fcc(111)重金属表面上的过渡金属原子的大规模重排。这种重构被发现对于这类异质结构相当普遍,并对底层磁性质产生深远影响,最终稳定了诸如斯格明子和双斯格明子等各种拓扑磁孤子。我们的发现呼吁重新考虑h-BN仅仅作为被动覆盖层的角色,展示了其不仅通过磁性薄膜的kagomerization等重构底层材料原子结构的潜力,而且还能实现下一代器件技术高度寻求的电子和磁相。

英文摘要:

The kagome lattice is an exciting solid state physics platform for the emergence of nontrivial quantum states driven by electronic correlations: topological effects, unconventional superconductivity, charge and spin density waves, and unusual magnetic states such as quantum spin liquids. While kagome lattices have been realized in complex multi-atomic bulk compounds, here we demonstrate from first-principles a process that we dub kagomerization, in which we fabricate a two-dimensional kagome lattice in monolayers of transition metals utilizing a hexagonal boron nitride (h-BN) overlayer. Surprisingly, h-BN induces a large rearrangement of the transition metal atoms supported on a fcc(111) heavy-metal surface. This reconstruction is found to be rather generic for this type of heterostructures and has a profound impact on the underlying magnetic properties, ultimately stabilizing various topological magnetic solitons such as skyrmions and bimerons. Our findings call for a reconsideration of h-BN as merely a passive capping layer, showing its potential for not only reconstructing the atomic structure of the underlying material, e.g. through the kagomerization of magnetic films, but also enabling electronic and magnetic phases that are highly sought for the next generation of device technologies.

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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