Evidence map›Paper›PMID 42402904›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2026

Magnetic Proximity Engineering of Valley Pseudospins in a Twisted WSe

Yixuan Chen, Shaofei Li, Shikun Hou, Xing Xie, Xian Zhang, Jun He, Zongwen Liu, Yanping Liu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 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

8 authors.

Yixuan ChenInstitute of Quantum Physics, School of Physics, Central South University, Changsha, Hunan, P. R. China.
Shaofei LiInstitute of Quantum Physics, School of Physics, Central South University, Changsha, Hunan, P. R. China.
Shikun HouInstitute of Quantum Physics, School of Physics, Central South University, Changsha, Hunan, P. R. China.
Xing XieInstitute of Quantum Physics, School of Physics, Central South University, Changsha, Hunan, P. R. China.
Xian ZhangInstitute of Quantum Physics, School of Physics, Central South University, Changsha, Hunan, P. R. China.
Jun HeInstitute of Quantum Physics, School of Physics, Central South University, Changsha, Hunan, P. R. China.
Zongwen LiuSchool of Chemical and Biomolecular Engineering, The University of Sydney, New South Wales, Australia.
Yanping LiuInstitute of Quantum Physics, School of Physics, Central South University, Changsha, Hunan, P. R. China.ORCID https://orcid.org/0000-0003-2990-3783

Funding

Australian Research Council DP180102976High-Performance Complex Manufacturing Key State Laboratory Project at Central South University ZZYJKT2020-12High-Performance Computing Center of Central South UniversityInnovation Program for Quantum Science and Technology 2021ZD0301605National Natural Science Foundation of China 52373311
6 · The paper itself

Abstract

Moiré excitons in twisted transition metal dichalcogenides form a highly tunable and strong correlated system with controllable valley pseudospins offering a promising quantum platform for valleytronics. However, due to inherent magnetic moment, their valley characteristics are fixed and exhibit weak response to external perturbations, limiting their application in spintronics and valleytronics. Here, we manipulate the valley polarization and valley splitting of moiré exciton utilizing magnetic proximity effect through constructing van der Waals heterostructure consisting of twisted WSe

Indexed as

exciton localizationg‐factormagnetic proximity effectmoiré excitonsmoiré superlattice

Identifiers

PMID42402904
PMCPMC13509106

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.