Evidence map›Paper›PMID 42503806›Full record

ArticleNano letters2026

Interlayer Electric Multipole Hall Effect in Twisted Multilayers.

Chengxin Xiao, Cong Xiao, Dawei Zhai, Wang Yao

Abstract read
In one paragraph

Article in Nano letters, 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

4 authors.

Chengxin XiaoNew Cornerstone Science Laboratory, Department of Physics, The University of Hong Kong, Hong Kong999077, China.ORCID 0000-0002-3724-9155
Cong XiaoInterdisciplinary Center for Theoretical Physics and Information Sciences (ICTPIS), Fudan University, Shanghai200433, China.ORCID 0000-0002-4843-070X
Dawei ZhaiNew Cornerstone Science Laboratory, Department of Physics, The University of Hong Kong, Hong Kong999077, China.ORCID 0000-0002-2497-434X
Wang YaoNew Cornerstone Science Laboratory, Department of Physics, The University of Hong Kong, Hong Kong999077, China.

Funding

Fudan University NANational Natural Science Foundation of China (NSFC) 12425406National Natural Science Foundation of China (NSFC) 12574114New Cornerstone Science Foundation NAResearch Grants Council, University Grants Committee AoE/P-701/20Research Grants Council, University Grants Committee HKU SRFS21227S05
6 · The paper itself

Abstract

Electrons in layered van der Waals materials possess a layer pseudospin characterizing their wave function distribution among layers. In twisted structures, this pseudospin forms nontrivial textures, leading to intriguing phenomena such as the layer Hall effect (LHE), where distinct layer Hall currents flow, despite the presence of time-reversal symmetry. In chiral bilayers, the LHE manifests as an interlayer electric dipole Hall effect with Hall counterflows and a concomitant in-plane magnetic dipole. The multilayer hosts richer layer-dependent Hall currents, generating interlayer electric multipole Hall effects and in-plane magnetic multipoles. We start by exploring the interlayer electric quadrupole Hall effect in mirror-symmetric twisted trilayers. At small twist angles, interlayer translation efficiently tunes layer Hall current magnitudes. At large angles and low doping, the currents can be well-accounted for by adding the contributions from the two individual twisted interfaces. This decomposition allows us to obtain layer-resolved Hall currents in large-angle twisted multilayers even without well-defined periodicity.

Indexed as

in-plane magnetic quadrupoleinterlayer electric quadrupolelayer Hall effectmoiré superlatticetwisted trilayer graphene

Identifiers

PMID42503806
PMCPMC13450481

What OpenQuestion holds

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Registered trials

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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.