Superconductors, Orbital Magnets, and Correlated States in Magic Angle Bilayer Graphene
Xiaobo Lu, Petr Stepanov, Wei Yang, Ming Xie, Mohammed Ali Aamir,, Ipsita Das, Carles Urgell, Kenji Watanabe, Takashi Taniguchi, Guangyu Zhang,, Adrian Bachtold, Allan H. MacDonald, Dmitri K. Efetov

TL;DR
This study demonstrates that high-quality, uniformly twisted bilayer graphene exhibits a variety of correlated electronic states, including insulators and superconductors, with new phenomena observed near charge neutrality and at different band fillings.
Contribution
The paper reports the fabrication of ultra-uniform twisted bilayer graphene devices revealing correlated insulators and superconductivity across all integer fillings, including new superconducting domes and topological states.
Findings
Insulating states observed at all integer fillings of flat bands.
Superconductivity with critical temperatures up to 3 K near -2 filling.
Discovery of new superconducting domes at lower temperatures near specific fillings.
Abstract
Superconductivity often occurs close to broken-symmetry parent states and is especially common in doped magnetic insulators. When twisted close to a magic relative orientation angle near 1 degree, bilayer graphene has flat moire superlattice minibands that have emerged as a rich and highly tunable source of strong correlation physics, notably the appearance of superconductivity close to interaction-induced insulating states. Here we report on the fabrication of bilayer graphene devices with exceptionally uniform twist angles. We show that the reduction in twist angle disorder reveals insulating states at all integer occupancies of the four-fold spin/valley degenerate flat conduction and valence bands, i.e. at moire band filling factors nu = 0, +(-) 1, +(-) 2, +(-) 3, and superconductivity below critical temperatures as high as 3 K close to - 2 filling. We also observe three new…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
