Evidence map›Paper›PMID 42765282›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Programmable Topological Magnetic Textures in Above-Room-Temperature 2D Ferromagnet Fe

Hanqing Shi, Yilian Xi, Jingwei Zhang, Jiaqi Liu, Zhizhen Ren, Shilei Zhang, Weichang Hao, Haifeng Feng, Yi Du

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, 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.

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0citing papers in PubMed
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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

9 authors.

Hanqing ShiSchool of Physics, Beihang University, Beijing, People's Republic of China.
Yilian XiCollege of Mathematics and Physics, Beijing University of Chemical Technology, Beijing, People's Republic of China.
Jingwei ZhangSchool of Physics, Beihang University, Beijing, People's Republic of China.
Jiaqi LiuSchool of Physics, Beihang University, Beijing, People's Republic of China.
Zhizhen RenSchool of Physics, Beihang University, Beijing, People's Republic of China.
Shilei ZhangSchool of Physical Science and Technology, ShanghaiTech University, Shanghai, People's Republic of China.
Weichang HaoSchool of Physics, Beihang University, Beijing, People's Republic of China.
Haifeng FengSchool of Physics, Beihang University, Beijing, People's Republic of China.ORCID https://orcid.org/0009-0003-2536-6711
Yi DuSchool of Physics, Beihang University, Beijing, People's Republic of China.ORCID https://orcid.org/0000-0003-1932-6732

Funding

Beijing High Innovation Plan 202504841020Beijing Municipal Science and Technology Project Z251100000725001Beijing Natural Science Foundation-Huairou Innovation Joint Fund L2605002China Postdoctoral Science Foundation 2025M774220Fundamental Research Funds for the Central Universities 501XSKC2025119001Fundamental Research Funds for the Central Universities buctrc202610Hebei Natural Science Foundation B2025501005National Key R&D Program of China 2021YFA1200800National Key R&D Program of China 2022YFB3403400National Natural Science Foundation of China 12274016National Natural Science Foundation of China 12404195National Natural Science Foundation of China 12404196
6 · The paper itself

Abstract

Topological invariants identify distinct topological states by remaining unchanged under continuous deformations, which reflects the robustness of topological phases against external perturbations. In magnetic systems, they characterize deformation-resistant spin textures and endow non-trivial configurations with exceptional stability; however, they also create inherent challenges in precise modulation of topological magnetic states. Here, we demonstrate the generation and programmable modulation of arbitrary topological numbers in a magnetic skyrmion bag system that is thermally stable in the 2D van der Waals (vdW) ferromagnet Fe

Indexed as

Fe3GaTe2ferromagnetmagnetic skyrmionskyrmion bagvan der Waals

Identifiers

PMID42765282
PMCPMC13591342

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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.