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arXiv 2304.13086cond-mat.mtrl-scicond-mat.mes-hall
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有效质量各向异性在实现混合节点线费米子态中的作用

Role of effective mass anisotropy in realizing a hybrid nodal-line fermion state

Bikash Patra, Rahul Verma, Shin-Ming Huang, Bahadur Singh

AI总结:

本研究通过第一性原理计算和$k \cdot p$理论,揭示了过渡金属四磷化物$Tm$P$_4$中由有效质量各向异性驱动的混合节点线态,包含I型和II型节点交叉,为各向异性晶格材料中的拓扑态调控提供了新途径。

摘要:

理解晶格几何在塑造拓扑态及其性质中的作用,对于凝聚态物理和器件物理具有根本重要性。在此,我们展示了各向异性晶体晶格如何在过渡金属四磷化物$Tm$P$_4$($Tm$=过渡金属)中驱动拓扑混合节点线。$Tm$P$_4$构成了一类独特的黑磷材料,通过将过渡金属离子插入磷层之间形成,且不破坏黑磷特有的各向异性能带结构。基于第一性原理计算和$k \cdot p$理论,我们表明$Tm$P$_4$承载一条由相反取向的各向异性$Tm~d$态和P态形成的单一混合节点线,该节点线不受高对称平面的约束。该节点线包含I型和II型节点能带交叉,其性质和位置由相交能带的有效质量各向异性决定。我们进一步讨论了一种可能的拓扑相变,以示例$Tm$P$_4$中混合节点线态的形成。我们的结果为理解各向异性晶格材料中结构基元驱动的质量各向异性与拓扑之间的相互作用,以实现混合半金属态,提供了全面的研究。

英文摘要:

Understanding the role of lattice geometry in shaping topological states and their properties is of fundamental importance to condensed matter and device physics. Here we demonstrate how an anisotropic crystal lattice drives a topological hybrid nodal line in transition metal tetraphosphides $Tm$P$_4$ ($Tm$ = Transition metal). $Tm$P$_4$ constitutes a unique class of black phosphorus materials formed by intercalating transition metal ions between the phosphorus layers without destroying the characteristic anisotropic band structure of the black phosphorous. Based on the first-principles calculations and $k \cdot p$ theory, we show that $Tm$P$_4$ harbor a single hybrid nodal line formed between oppositely-oriented anisotropic $Tm~d$ and P states unhinged from the high-symmetry planes. The nodal line consists of both type-I and type-II nodal band crossings whose nature and location are determined by the effective-mass anisotropies of the intersecting bands. We further discuss a possible topological phase transition to exemplify the formation of the hybrid nodal line state in $Tm$P$_4$. Our results offer a comprehensive study for understanding the interplay between structural motifs-driven mass anisotropies and topology in anisotropic lattice materials to realize hybrid semimetal states.

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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