Evidence map›Paper›PMID 42236718›Full record

ArticleNature communications2026

Data-driven concavity engineering for magnetic activation in rigid microspheres.

Chang Zhang, Longjun Rao, Lishan Wu, Ruixuan Zhang, Jiazhuan Qin, Meichen Wen, Ke Pei, Hanwen Cheng, Chongyun Liang, Wenbin You and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Chang ZhangLaboratory of Advanced Materials, College of Smart Materials and Future Energy, Fudan University, Shanghai, China.
Longjun RaoLaboratory of Advanced Materials, College of Smart Materials and Future Energy, Fudan University, Shanghai, China.
Lishan WuLaboratory of Advanced Materials, College of Smart Materials and Future Energy, Fudan University, Shanghai, China.
Ruixuan ZhangLaboratory of Advanced Materials, College of Smart Materials and Future Energy, Fudan University, Shanghai, China.
Jiazhuan QinLaboratory of Advanced Materials, College of Smart Materials and Future Energy, Fudan University, Shanghai, China.
Meichen WenLaboratory of Advanced Materials, College of Smart Materials and Future Energy, Fudan University, Shanghai, China.
Ke PeiLaboratory of Advanced Materials, College of Smart Materials and Future Energy, Fudan University, Shanghai, China.
Hanwen ChengLaboratory of Advanced Materials, College of Smart Materials and Future Energy, Fudan University, Shanghai, China.
Chongyun LiangLaboratory of Advanced Materials, College of Smart Materials and Future Energy, Fudan University, Shanghai, China.
Wenbin YouLaboratory of Advanced Materials, College of Smart Materials and Future Energy, Fudan University, Shanghai, China. wbyou@fudan.edu.cn.ORCID http://orcid.org/0000-0001-7064-3982
Renchao CheLaboratory of Advanced Materials, College of Smart Materials and Future Energy, Fudan University, Shanghai, China. rcche@fudan.edu.cn.ORCID http://orcid.org/0000-0002-6583-7114

Funding

National Natural Science Foundation of China (National Science Foundation of China) 12327804, 52231007, T2321003, 22088101, 22405050Science and Technology Commission of Shanghai Municipality (Shanghai Municipal Science and Technology Commission) 24ZR1406400Shanghai Municipal Education Commission 24KXZNA06
6 · The paper itself

Abstract

Concave architectures harness geometric curvature to amplify interfacial activity and local fields, presenting encouraging prospects for catalytic, optical, and electromagnetic applications. However, their controllable synthesis in rigid metals remains challenging due to pronounced anisotropic surface energy and crystallographic constraints. Departing from conventional thermodynamically driven mechanisms, we propose a broadly applicable stress manipulation strategy during droplet evaporation to induce and regulate surface concavity in rigid microspheres. Such deliberately engineered concave configuration, guided by machine learning optimization, enables enhanced magnetic activity in electromagnetic systems. Reprogrammed magnetic domains orchestrate localized energy redistribution and magnetic activation, meanwhile effectively reducing spatial occupancy. The optimal FeCo alloys outperformed commercial magnetic powders, demonstrating a 28% increase in high-frequency magnetic response and a 79.5% reduction in density, while maintaining high saturation magnetization (236.6 emu/g). This mechanism successfully decouples magnetism from density, allowing for better design of lightweight, multifunctional materials.

Identifiers

PMID42236718
PMCPMC13396650

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.