Evidence map›Paper›PMID 40278831›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

A Membrane Magnetoelastic Generator for Acoustic Energy Harvesting.

Ziyuan Che, Jing Xu, Xiao Wan, Chrystal Duan, Jun Chen

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. A Membrane Magnetoelastic Generator for Acoustic Energy Harvesting.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    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

5 authors.

Ziyuan CheDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
Jing XuDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
Xiao WanDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
Chrystal DuanDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
Jun ChenDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA.ORCID https://orcid.org/0000-0002-3439-0495

Funding

A soft magnetoelastic microneedle patch for rapid skin cancer screeningR01CA287326 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Jun Chen · 2024 to 2026
$1.1M
American Heart Association-American Stroke Association 23IPA1054908American Heart Association-American Stroke Association 23SCEFIA1157587American Heart Association-American Stroke Association 23TPA1141360American Heart Association Innovative Project Award 23IPA1054908American Heart Association's Second Century Early Faculty Independence Award 23SCEFIA1157587American Heart Association Transformational Project Award 23TPA1141360National Science Foundation Grant 2425858NCI NIH HHS R01 CA287326Office of Naval Research Young Investigator Award N00014-24-1-2065
6 · The paper itself

Abstract

Acoustic waves are a type of energy propagation through a medium with a low energy density, which makes it challenging to be converted into electricity. Here, a membrane magnetoelastic generator is presented as a fundamentally new technology for acoustic energy harvesting that is centered on a coupling of magnetoelastic effect and electromagnetic induction. It is as thin as 400 µm, holds a skin-alike modulus of 2.59 × 10

Indexed as

acoustic energy harvestingclean energymagnetoelastic effectsoft system

Identifiers

PMID40278831
PMCPMC12120712

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.