2023
DOI: 10.1088/0256-307x/40/1/017102
|View full text |Cite
|
Sign up to set email alerts
|

Correlation Renormalized and Induced Spin-Orbit Coupling

Abstract: Interplay of spin-orbit coupling (SOC) and electron correlation generates a bunch of emergent quantum phases and transitions, especially topological insulators and topological transitions. We find that electron correlation will induce extra large SOC in multi-orbital systems under atomic SOC and change ground state topological properties. Using the Hartree–Fock mean field theory, phase diagrams of px /py orbital ionic Hubbard model on honeycomb lattice are well studied. In … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(1 citation statement)
references
References 28 publications
0
1
0
Order By: Relevance
“…[6][7][8][9] As a scenario of its application, thermal metamaterials have experienced rapid development in recent years, whose main principle is to realize macroscopic thermal management by adjusting the thermal transport of microstructures. [10][11][12][13][14] Thermal devices made of thermal metamaterial such as thermal diode, [15] thermal transistor, [16] thermal cloak [17,18] and phonon focusing [19] have been theoretically proposed. With the advancement of various machine learning and intelligent algorithms, researchers can more conveniently use computer-aided methods to predict the thermal transport properties of materials [20] or develop new thermal metamaterials.…”
mentioning
confidence: 99%
“…[6][7][8][9] As a scenario of its application, thermal metamaterials have experienced rapid development in recent years, whose main principle is to realize macroscopic thermal management by adjusting the thermal transport of microstructures. [10][11][12][13][14] Thermal devices made of thermal metamaterial such as thermal diode, [15] thermal transistor, [16] thermal cloak [17,18] and phonon focusing [19] have been theoretically proposed. With the advancement of various machine learning and intelligent algorithms, researchers can more conveniently use computer-aided methods to predict the thermal transport properties of materials [20] or develop new thermal metamaterials.…”
mentioning
confidence: 99%