Evidence map›Paper›PMID 42633282›Full record

ReviewNational science review2026

Twisting graphene into correlation and topology.

Shuo-Ying Yang, Cheng Shen

Abstract readReview
In one paragraph

Review in National science review, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Shuo-Ying YangState Key Laboratory of Quantum Functional Materials, Department of Physics, and Guangdong Basic Research Center of Excellence for Quantum Science, Southern University of Science and Technology, Shenzhen 518055, China.
Cheng ShenSchool of Physics, University of Electronic Science and Technology of China, Chengdu 610054, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Twisted graphene moiré superlattices have emerged as a highly tunable platform in which electronic correlation and band topology intertwine in unprecedented ways. Near the magic angle, moiré interference dramatically suppresses kinetic energy, producing flat electronic bands with nontrivial quantum geometry and multiple internal degrees of freedom. These features enable interaction-driven phases that have no direct analogue in conventional solids. In this Review, we survey recent progress on magic-angle twisted bilayer graphene and related twisted multilayer graphene systems, focusing on how many-body and topological effects reconstruct the flat-band spectrum and organize the observed phase diagram. We discuss correlated insulating states, flavor-selective cascades, intervalley coherent orders, and the coexistence of localized moments with itinerant carriers. We further examine the emergence of topological phases-including orbital Chern insulators, fractional Chern insulators, and topological electronic crystals-that arise from the interplay between interactions and band topology. Superconductivity in twisted graphene is reviewed as a strongly coupled, unconventional phenomenon, shaped by both electronic correlation and quantum geometry. The discussion is then extended to twisted multilayer graphene architectures, highlighting the intertwined electronic correlation and band topology, and their influence on superconductivity. We conclude by outlining key open problems in superconductivity and opportunities for engineering novel correlated and topological states in twisted graphene moiré systems.

Indexed as

electronic correlationmoiré superlatticesuperconductivitytopologytwisted graphene

Identifiers

PMID42633282
PMCPMC13499237

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.