Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Journal articles
  4. Correlated phases in rhombohedral multilayer graphene
 
research article

Correlated phases in rhombohedral multilayer graphene

Herasymchuk, Arsen
•
Sharapov, Sergei G.
•
Yazyev, Oleg V.  
Show more
January 16, 2026
Physical Review B

We investigate the emergence of correlated electron phases in rhombohedral N -layer graphene due to two-valley Coulomb interactions within a low-energy k · p framework. Analytical expressions for Lindhard susceptibilities in intra- and intervalley channels are derived, and the critical temperatures for phase transitions are estimated using both the random phase approximation (RPA) and the parquet approximation (PA). Within RPA, only Stoner and intervalley coherent (IVC) phases are supported, while the PA reveals a richer phase structure including particle-particle (PP) channel instabilities. We establish a general scaling law for the critical temperature with respect to layer number N , highlighting an upper bound as N → ∞ , and demonstrate a nonmonotonic decrease of the critical temperature with increasing chemical potential. The PA uncovers the role of interaction symmetry: S U ( 4 ) -symmetric interactions favor intervalley Stoner order in the density channel, whereas S U ( 2 ) × S U ( 2 ) -symmetric interactions permit a broader set of phases. A crossover in the dominant instability occurs in the particle-hole channel at a critical layer number, suggesting the emergence of magnetic or IVC phases in thicker systems. We also identify conditions under which pair-density wave (PDW) order could form in the PP channel, though its physical realization may be constrained.

  • Files
  • Details
  • Metrics
Loading...
Thumbnail Image
Name

10.1103_2q6v-4brs.pdf

Type

Main Document

Version

Published version

Access type

openaccess

License Condition

CC BY

Size

1.42 MB

Format

Adobe PDF

Checksum (MD5)

ba029dce8c887476025d84afe020706a

Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés