Evidence map›Paper›PMID 41238540›Full record

ArticleNature communications2025

Electrodeposition of magnetic nanonetworks featuring triangular motifs and parallel ridges on a macroscopic scale.

Fei Chen, Junkang Shan, Xi Wang, Jingning Li, Fei Jia, Fan Wang, Zihao Yang, Kai Liu, Ru-Wen Peng, Mu Wang

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

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

10 authors.

Fei Chen *National Laboratory of Solid State Microstructures, School of Physics, and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing, China.ORCID http://orcid.org/0000-0003-2482-2204
Junkang Shan *National Laboratory of Solid State Microstructures, School of Physics, and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing, China.
Xi WangNational Laboratory of Solid State Microstructures, School of Physics, and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing, China.
Jingning LiNational Laboratory of Solid State Microstructures, School of Physics, and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing, China.
Fei JiaNational Laboratory of Solid State Microstructures, School of Physics, and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing, China.
Fan WangNational Laboratory of Solid State Microstructures, School of Physics, and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing, China.ORCID http://orcid.org/0009-0007-2061-2978
Zihao YangNational Laboratory of Solid State Microstructures, School of Physics, and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing, China.
Kai LiuPhysics Department, Georgetown University, Washington, DC, USA.ORCID http://orcid.org/0000-0001-9413-6782
Ru-Wen PengNational Laboratory of Solid State Microstructures, School of Physics, and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing, China. rwpeng@nju.edu.cn.ORCID http://orcid.org/0000-0003-0424-2771
Mu WangNational Laboratory of Solid State Microstructures, School of Physics, and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing, China. muwang@nju.edu.cn.ORCID http://orcid.org/0000-0002-3823-1272

Funding

Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology) 2022YFA1404303National Natural Science Foundation of China (National Science Foundation of China) 12234010
6 · The paper itself

Abstract

Ordered nanostructured magnetic networks offer a versatile platform for studying magnetic frustration, reconfigurable magnonics, and neuromorphic computing. Their fabrication, however, often relies on complicated and expensive nanolithography. Here, we demonstrate an electrochemical strategy for growing large-area magnetic networks composed of self-organized triangular motifs separated by periodic parallel ridges. The ridges arise deterministically from voltage-controlled electrodeposition, while the regions between them undergo self-organization: cobalt nucleates, bifurcates, and assembles into either solid or hollow triangular units depending on the growth conditions. The global network morphology is dictated by the waveform of the applied voltage. These triangular structures host diverse magnetic states, including vortex-like and macro-spin-like configurations, and exhibit nonlinear responses to external magnetic fields. Our approach combines macroscopically controlled, deterministic growth and microscopic self-organization, providing a scalable pathway for fabricating complex nanostructures. The resulting magnetic networks show potential as physical reservoirs for neuromorphic computing.

Identifiers

PMID41238540
PMCPMC12618930

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.