密度矩阵重整化群
物理
反铁磁性
磁性
拓扑(电路)
赫巴德模型
相图
顺磁性
拓扑绝缘体
凝聚态物理
重整化群
相(物质)
量子力学
数学
组合数学
超导电性
作者
Rahul Soni,Harini Radhakrishnan,Bernd Rosenow,Gonzalo Álvarez,Adrian Del Maestro
出处
期刊:Physical review
[American Physical Society]
日期:2024-06-10
卷期号:109 (24)
被引量:2
标识
DOI:10.1103/physrevb.109.245115
摘要
We investigate the effects of electronic correlations on the Bernevig-Hughes-Zhang model using the real-space density matrix renormalization group (DMRG) algorithm. We introduce a method to probe topological phase transitions in systems with strong correlations using DMRG, substantiated by an unsupervised machine learning methodology that analyzes the orbital structure of the real-space edges. Including the full multi-orbital Hubbard interaction term, we construct a phase diagram as a function of a gap parameter (m) and the Hubbard interaction strength (U) via exact DMRG simulations on N×4 cylinders. Our analysis confirms that the topological phase persists in the presence of interactions, consistent with previous studies, but it also reveals an intriguing phase transition from a paramagnetic to a stripey antiferromagnetic topological insulator. The combination of the magnetic structure factor, strength of magnetic moments, and the orbitally resolved density, provides real-space information on both topology and magnetism in a strongly correlated system.
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