Evidence map›Paper›PMID 39414797›Full record

ArticleNature communications2024

An elastic piezoelectric nanomembrane with double noise reduction for high-quality bandpass acoustics.

Jialin Zhang, Yanjun Liu, Peiyi Wu

Abstract read
In one paragraph

Article in Nature communications, 2024. 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. Stimuli-Responsive Materials for Biomedical Applications.Advanced materials (Deerfield Beach, Fla.) · 2025
    Review
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

3 authors.

Jialin ZhangState Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Chemistry and Chemical Engineering, Donghua University, 2999 North Renmin Road, Shanghai, 201620, China.
Yanjun LiuState Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Chemistry and Chemical Engineering, Donghua University, 2999 North Renmin Road, Shanghai, 201620, China. liuyanjun@dhu.edu.cn.ORCID http://orcid.org/0000-0002-2780-1532
Peiyi WuState Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Chemistry and Chemical Engineering, Donghua University, 2999 North Renmin Road, Shanghai, 201620, China. wupeiyi@dhu.edu.cn.ORCID http://orcid.org/0000-0001-7235-210X

Funding

National Natural Science Foundation of China (National Science Foundation of China) 52161135102
6 · The paper itself

Abstract

Polymer piezoelectrics with high electromechanical energy conversion (HEEC) are very promising for flexible acoustoelectric devices. However, reducing thickness and improving ordered polarization and ferroelectricity while maintaining high mechanical strength pose enormous fabrication challenges for polymer piezoelectric membranes-additionally, noise management in the acoustoelectric conversion remains an open issue. Here, we present a hydro-levitation superspreading approach for fabricating polymer nanomembranes with ordered crystalline phases and sub-nanostructures on the water surface. The elastic piezoelectric nanomembrane (EPN) is only 335 nanometers thick and consists of a conductance-stable piezoelectric layer sandwiched between two elastic damping layers. Such an all-in-one EPN can reduce background noise with low autocorrelation in the environment, suppress spurious noise caused by poor circuit contact, and achieve bandpass filtering of acoustic signals at human voice frequencies. This nanomembrane holds promise in repairing the auditory system of patients with tympanic membrane perforation and in a wide range of other acoustoelectric conversion fields.

Identifiers

PMID39414797
PMCPMC11484958

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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.