Evidence map›Paper›PMID 41115866›Full record

ArticleNature communications2025

Long-range moiré tuning effect via inter-layer drag interaction.

Lijun Zhu, Xiaoqiang Liu, Xinyi Wan, Huijuan Dai, Zhenhua Qiao, Lin Li, Changgan Zeng

Abstract read
In one paragraph

Article in Nature communications, 2025. 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

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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

7 authors.

Lijun ZhuDepartment of Physics, University of Science and Technology of China, Hefei, China.ORCID http://orcid.org/0009-0007-6393-4360
Xiaoqiang LiuDepartment of Physics, University of Science and Technology of China, Hefei, China.
Xinyi WanDepartment of Physics, University of Science and Technology of China, Hefei, China.
Huijuan DaiDepartment of Physics, University of Science and Technology of China, Hefei, China.
Zhenhua QiaoDepartment of Physics, University of Science and Technology of China, Hefei, China.ORCID http://orcid.org/0000-0002-7195-8561
Lin LiDepartment of Physics, University of Science and Technology of China, Hefei, China. lilin@ustc.edu.cn.ORCID http://orcid.org/0000-0002-0533-7783
Changgan ZengDepartment of Physics, University of Science and Technology of China, Hefei, China. cgzeng@ustc.edu.cn.ORCID http://orcid.org/0000-0001-8630-845X

Funding

China Postdoctoral Science Foundation 2023M733419 and 2024T170875National Natural Science Foundation of China (National Science Foundation of China) 12474051 and 92165201Natural Science Foundation of Anhui Province (Anhui Provincial Natural Science Foundation) 2308085J11 and 2308085QA14
6 · The paper itself

Abstract

Constructing moiré superlattices has been demonstrated to be a powerful approach for tailoring the electronic properties of two-dimensional van der Waals materials. However, the periodic moiré potential diminishes rapidly away from the interface between the two stacked layers, restricting the moiré modulation only at the superlattice interface. Here, we present an alternative strategy to extend the influence range of the moiré tuning through drag interaction, a dynamic process involving inter-layer momentum/energy transfer mediated by Coulomb scatterings. By fabricating a unique electronic double-layer structure comprising a graphene moiré superlattice and a pristine graphene layer, we observe several intriguing inter-layer drag behaviors dominated by moiré physics. Notably, measuring the drag voltage within the pristine graphene layer, located distant from the moiré superlattice, reveals clear moiré tuning effects on the drag signal, including self-similar mapping spectra and the Hofstadter's butterfly spectra of drag resistance in the presence of a magnetic field. The realization of such moiré drag effect thus establishes a new paradigm for remote moiré engineering, offering a gateway to explore rich moiré physics in the emerging two-dimensional systems.

Identifiers

PMID41115866
PMCPMC12537851

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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.