Evidence map›Paper›PMID 40138344›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Actuating superparamagnetic nanoparticle monolayers.

Edward P Esposito, Hector Manuel Lopez Rios, Monica Olvera de la Cruz, Heinrich M Jaeger

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. 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. Actuating superparamagnetic nanoparticle monolayers.Proceedings of the National Academy of Sciences of the United States of America · 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

4 authors.

Edward P Esposito *Department of Physics, University of Chicago, Chicago, IL 60637.ORCID 0009-0003-0171-7652
Hector Manuel Lopez Rios *Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208.ORCID 0000-0002-4276-7432
Monica Olvera de la CruzDepartment of Materials Science and Engineering, Northwestern University, Evanston, IL 60208.ORCID 0000-0002-9802-3627
Heinrich M JaegerDepartment of Physics, University of Chicago, Chicago, IL 60637.ORCID 0009-0001-0270-6870

Funding

National Science Foundation (NSF) DMR-2011854
6 · The paper itself

Abstract

Magnetically responsive, mechanically flexible microstructures are desirable for applications ranging from smart sensors to remote-controlled actuation for surgery or robotics. Embedding magnetic nanoparticles into a thin matrix of elastic material enables high flexibility while exploiting the magnetic response of the individual particles. However, in the ultrathin limit of such nanocomposite materials, the particles become too small to sustain a permanent dipole moment. This implies that now large magnetic field gradients are required for actuation, which are difficult to achieve with externally applied fields. Here, we demonstrate through experiment and simulation that monolayer sheets of close-packed paramagnetic nanoparticles in a uniform applied field can generate large local field gradients through particle interactions. As a result, a strong collective magnetization is obtained that leads to large deflections of freestanding sheets already in moderate applied fields. Exploiting the vector nature of the applied field, we furthermore find that it is possible to induce more complex curvature and twist the sheets. Finally, we show that paramagnetic nanoparticle monolayers applied as coatings can generate sufficient force to deflect strips of nonmagnetic material that is several orders of magnitude thicker.

Indexed as

magnetoelasticnanoparticlessuperparamagnetic

Identifiers

PMID40138344
PMCPMC12002294

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.