Evidence map›Paper›PMID 42416711›Full record

ArticleRSC advances2026

Magnetoimpedance effect assisted by current-driven transverse domain formation.

Nguyen Van Tuan, Nguyen Khac Binh, Dang Huy Hoang, Nguyen Van Dung, Ho Anh Tam, Le Van Lich, Do Thi Huong Giang

Abstract read
In one paragraph

Article in RSC advances, 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

7 authors.

Nguyen Van TuanDepartment of Physics, Le Quy Don Technical University Hanoi 100000 Vietnam.ORCID https://orcid.org/0000-0003-2385-6488
Nguyen Khac BinhFaculty of Physics Engineering and Nanotechnology, VNU University of Engineering and Technology, Vietnam National University Hanoi 100000 Vietnam Giangdth@vnu.edu.vn.
Dang Huy HoangFaculty of Physics Engineering and Nanotechnology, VNU University of Engineering and Technology, Vietnam National University Hanoi 100000 Vietnam Giangdth@vnu.edu.vn.
Nguyen Van DungFaculty of Physics Engineering and Nanotechnology, VNU University of Engineering and Technology, Vietnam National University Hanoi 100000 Vietnam Giangdth@vnu.edu.vn.
Ho Anh TamFaculty of Physics Engineering and Nanotechnology, VNU University of Engineering and Technology, Vietnam National University Hanoi 100000 Vietnam Giangdth@vnu.edu.vn.
Le Van LichCenter for Materials Innovation and Technology, VinUniversity Hanoi 100000 Vietnam.
Do Thi Huong GiangFaculty of Physics Engineering and Nanotechnology, VNU University of Engineering and Technology, Vietnam National University Hanoi 100000 Vietnam Giangdth@vnu.edu.vn.ORCID https://orcid.org/0000-0001-6657-9690

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Magnetic field sensors based on the magnetoimpedance (MI) effect are attracting increasing attention for next-generation healthcare, environmental monitoring, industrial automation, and wearable electronic systems because of their exceptional sensitivity and rapid response to weak magnetic fields. However, achieving high-performance and miniaturized MI sensors requires precise control of magnetic domain structures and anisotropy, particularly in microscale magnetic conductors. Here, we demonstrate a current-assisted strategy for enhancing the MI effect through transverse domain engineering in amorphous Fe-Si-C microwires with widths ranging from 250 down to 40 µm. By combining laser-assisted microfabrication, magnetic characterization, impedance measurements, and MuMax

Identifiers

PMID42416711
PMCPMC13340309

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.