Evidence map›Paper›PMID 37242837›Full record

ArticlePolymers2023

Dynamic Magnetoelectric Effect of Soft Layered Composites with a Magnetic Elastomer.

Liudmila A Makarova, Iuliia A Alekhina, Marat F Khairullin, Rodion A Makarin, Nikolai S Perov

Open access · goldAbstract read
In one paragraph

Article in Polymers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 40% of its field
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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. 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 at 2 institutions in 1 country.

Liudmila A MakarovaFaculty of Physics, Lomonosov Moscow State University, 119991 Moscow, Russia.ORCID 0000-0001-5724-6632
Iuliia A AlekhinaFaculty of Physics, Lomonosov Moscow State University, 119991 Moscow, Russia.
Marat F KhairullinFaculty of Physics, Lomonosov Moscow State University, 119991 Moscow, Russia.
Rodion A MakarinFaculty of Physics, Lomonosov Moscow State University, 119991 Moscow, Russia.
Nikolai S PerovFaculty of Physics, Lomonosov Moscow State University, 119991 Moscow, Russia.ORCID 0000-0002-0757-4942
Immanuel Kant Baltic Federal University · RULomonosov Moscow State University · RU

Funding

Russian Science Foundation 22-72-10137
6 · The paper itself

Abstract

Multilayered magnetoelectric materials are of great interest for investigations due to their unique tuneable properties and giant values of magnetoelectric effect. The flexible layered structures consisting of soft components can reveal lower values of the resonant frequency for the dynamic magnetoelectric effect appearing in bending deformation mode. The double-layered structure based on the piezoelectric polymer polyvinylidene fluoride and a magnetoactive elastomer (MAE) with carbonyl iron particles in a cantilever configuration was investigated in this work. The gradient AC magnetic field was applied to the structure, causing the bending of the sample due to the attraction acting on the magnetic component. The resonant enhancement of the magnetoelectric effect was observed. The main resonant frequency for the samples depended on the MAE properties, namely, their thickness and concentration of iron particles, and was 156-163 Hz for a 0.3 mm MAE layer and 50-72 Hz for a 3 mm MAE layer; the resonant frequency depended on bias DC magnetic field as well. The results obtained can extend the application area of these devices for energy harvesting.

Indexed as

bending deformationiron particleslayered structuremagnetoactive elastomermagnetoelectric effectmultiferroicpiezopolymer

Identifiers

PMID37242837
PMCPMC10220663
OpenAlexW4378516848

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.