Evidence map›Paper›PMID 35697857›Full record

ArticleScientific reports2022

Magnetic order and disorder environments in superantiferromagnetic [Formula: see text] nanoparticles.

E M Jefremovas, P Svedlindh, F Damay, D Alba Venero, A Michels, J A Blanco, L Fernández Barquín

Abstract read
In one paragraph

Article in Scientific reports, 2022. 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

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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. 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

7 authors.

E M JefremovasDepartment CITIMAC, Facultad de Ciencias, Universidad de Cantabria, 39005 Santander, Spain.
P SvedlindhDepartment of Materials Science and Engineering, Uppsala University, Box 35, 751 03 Uppsala, Sweden.
F DamayLaboratoire Léon Brillouin, Université Paris-Saclay, CEA-CNRS, 91191 Gif-sur-Yvette Cedex, France.
D Alba VeneroISIS Neutron and Muon Facility, Rutherford Appleton Laboratory, Didcot, OX11 0QX UK.
A MichelsDepartment of Physics and Materials Science, University of Luxembourg, 1511 Luxembourg, Luxembourg.
J A BlancoDepartment of Physics, University of Oviedo, 33007 Oviedo, Spain.
L Fernández BarquínDepartment CITIMAC, Facultad de Ciencias, Universidad de Cantabria, 39005 Santander, Spain.

Funding

Gobierno del Principado de Asturias MAGNES AYD/2021/51822Ministerio de Ciencia, Innovación y Universidades MAT2017-83631-C3-RUniversidad de Cantabria Concepción Arenal
6 · The paper itself

Abstract

Magnetic nanoparticles exhibit two different local symmetry environments, one ascribed to the core and one corresponding to the nanoparticle surface. This implies the existence of a dual spin dynamics, leading to the presence of two different magnetic arrangements governed by different correlation lengths. In this work, two ensembles of [Formula: see text] nanoparticles with mean sizes of 18 nm and 13 nm have been produced to unravel the magnetic couplings established among the magnetic moments located within the core and at the nanoparticle surface. To this end, we have combined neutron diffraction measurements, appropriate to investigate magnetically-ordered spin arrangements, with time-dependent macroscopic AC susceptibility measurements to reveal memory and aging effects. The observation of the latter phenomena are indicative of magnetically-frustrated states. The obtained results indicate that, while the [Formula: see text] magnetic moments located within the nanoparticle core keep the bulk antiferromagnetic commensurate structure in the whole magnetic state, the correlations among the surface spins give rise to a collective frustrated spin-glass phase. The interpretation of the magnetic structure of the nanoparticles is complemented by specific-heat measurements, which further support the lack of incommensurability in the nanoparticle state.

Identifiers

PMID35697857
PMCPMC9192703

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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.