Evidence map›Paper›PMID 41253773›Full record

ArticleNature communications2025

High inductance density in CMOS-compatible magnetically integrated 3D microinductors for radio-frequency applications.

Li Chen, Zhiyuan Qiao, Shengbao Liu, Jinbo Yang, Yue Wu, Pengchuan Liu, Zhi Zheng, Luozhao Zhang, Yuhang Hu, Tingqi Wu and 4 more

Abstract read
PubMed Full text at PMC Publisher
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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

14 authors.

Li Chen *International Institute for Intelligent Nanorobots and Nanosystems & State Key Laboratory of Surface Physics, College of Intelligent Robotics and Advanced Manufacturing, Fudan University, Shanghai, People's Republic of China.ORCID http://orcid.org/0009-0002-2901-1611
Zhiyuan Qiao *International Institute for Intelligent Nanorobots and Nanosystems & State Key Laboratory of Surface Physics, College of Intelligent Robotics and Advanced Manufacturing, Fudan University, Shanghai, People's Republic of China.
Shengbao Liu *International Institute for Intelligent Nanorobots and Nanosystems & State Key Laboratory of Surface Physics, College of Intelligent Robotics and Advanced Manufacturing, Fudan University, Shanghai, People's Republic of China.
Jinbo YangInternational Institute for Intelligent Nanorobots and Nanosystems & State Key Laboratory of Surface Physics, College of Intelligent Robotics and Advanced Manufacturing, Fudan University, Shanghai, People's Republic of China.
Yue WuInternational Institute for Intelligent Nanorobots and Nanosystems & State Key Laboratory of Surface Physics, College of Intelligent Robotics and Advanced Manufacturing, Fudan University, Shanghai, People's Republic of China.
Pengchuan LiuInternational Institute for Intelligent Nanorobots and Nanosystems & State Key Laboratory of Surface Physics, College of Intelligent Robotics and Advanced Manufacturing, Fudan University, Shanghai, People's Republic of China.
Zhi ZhengInternational Institute for Intelligent Nanorobots and Nanosystems & State Key Laboratory of Surface Physics, College of Intelligent Robotics and Advanced Manufacturing, Fudan University, Shanghai, People's Republic of China.
Luozhao ZhangInternational Institute for Intelligent Nanorobots and Nanosystems & State Key Laboratory of Surface Physics, College of Intelligent Robotics and Advanced Manufacturing, Fudan University, Shanghai, People's Republic of China.
Yuhang HuInternational Institute for Intelligent Nanorobots and Nanosystems & State Key Laboratory of Surface Physics, College of Intelligent Robotics and Advanced Manufacturing, Fudan University, Shanghai, People's Republic of China.
Tingqi WuShanghaiTech Quantum Device Lab, ShanghaiTech University, Shanghai, People's Republic of China.
Wen HuangInternational Institute for Intelligent Nanorobots and Nanosystems & State Key Laboratory of Surface Physics, College of Intelligent Robotics and Advanced Manufacturing, Fudan University, Shanghai, People's Republic of China.ORCID http://orcid.org/0000-0002-3331-1425
Yongfeng MeiInternational Institute for Intelligent Nanorobots and Nanosystems & State Key Laboratory of Surface Physics, College of Intelligent Robotics and Advanced Manufacturing, Fudan University, Shanghai, People's Republic of China. yfm@fudan.edu.cn.ORCID http://orcid.org/0000-0002-3314-6108
Gaoshan HuangInternational Institute for Intelligent Nanorobots and Nanosystems & State Key Laboratory of Surface Physics, College of Intelligent Robotics and Advanced Manufacturing, Fudan University, Shanghai, People's Republic of China. gshuang@fudan.edu.cn.ORCID http://orcid.org/0000-0002-0525-7177
Jizhai CuiInternational Institute for Intelligent Nanorobots and Nanosystems & State Key Laboratory of Surface Physics, College of Intelligent Robotics and Advanced Manufacturing, Fudan University, Shanghai, People's Republic of China. jzcui@fudan.edu.cn.ORCID http://orcid.org/0000-0003-1317-0570

Funding

National Natural Science Foundation of China (National Science Foundation of China) 52101214National Natural Science Foundation of China (National Science Foundation of China) 62375054Science and Technology Commission of Shanghai Municipality (Shanghai Municipal Science and Technology Commission) 24520750200,24CL2900200, 25CL2900202
6 · The paper itself

Abstract

On-chip inductors enable high integration in radio-frequency electronics, critical for compact, power-efficient systems. However, they often occupy a large chip area due to low inductance density (D, defined as the total inductance per unit area) that scales sublinearly with conductor length (l) in planar architectures. Here, we present a three-dimensional rolled-up, magnetically integrated microinductor technology with record-high inductance density. By exploiting a superlinear scaling law (D ∝ l

Identifiers

PMID41253773
PMCPMC12627096

What OpenQuestion holds

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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 OpenQuestion graph.