The DOI matches its Crossref record.
Aging in a Magnetic Particle System
Abstract
The influence of dipolar interaction in a frozen ferrofluid has been experimentally studied. The ferrofluid consisted of particles of $\ensuremath{\gamma}$- ${\mathrm{Fe}}_{2}$${\mathrm{O}}_{3}$ with mean diameter 70 \AA{}. Four samples with volume concentration of magnetic particles ranging from 0.03% to 17% have been investigated. The magnetic relaxation of the most concentrated particle system shows typical spin glass dynamics at low temperature, e.g., the relaxation depends on the time spent at constant temperature before applying the magnetic field---the system ages. The most diluted sample shows isolated particle dynamics and no aging.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Bedanta, S., & Kleemann, W. (2009) · Journal of Physics D: Applied Physics · doi:10.1088/0022-3727/42/1/013001 · Cited by 1,011
Influence of Dipolar Interaction on Magnetic Properties of Ultrafine Ferromagnetic Particles
García-Otero, J., Porto, M., Rivas, J., & Bunde, A. (2000) · Physical Review Letters · doi:10.1103/physrevlett.84.167 · Cited by 298
Synthesis of monodisperse maghemite nanoparticles by the microemulsion method
Vidal-Vidal, J., Rivas, J., & López-Quintela, M. A. (2006) · Colloids and Surfaces A: Physicochemical and Engineering Aspects · doi:10.1016/j.colsurfa.2006.04.027 · Cited by 280
Aggregation effects on the magnetic properties of iron oxide colloids
Gutiérrez, L., de la Cueva, L., Moros, M., Mazarío, E., de Bernardo, S., de la Fuente, J. M., Morales, M. P., & Salas, G. (2019) · Nanotechnology · doi:10.1088/1361-6528/aafbff · Cited by 206
Novel magnetic nanomaterials inspired by magnetotactic bacteria: Topical review
Prozorov, T., Bazylinski, D. A., Mallapragada, S. K., & Prozorov, R. (2013) · Materials Science and Engineering: R: Reports · doi:10.1016/j.mser.2013.04.002 · Cited by 137
Metadata
- Authors
- Jonsson, T., Mattsson, J., Djurberg, C., Khan, F. A., Nordblad, P., & Svedlindh, P.
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 1995-11-27
- Volume
- 75
- Issue
- 22
- Pages
- 4138-4141
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W2026646190
- Cited by
- 319
- References
- 0
- FWCI
- 10.40
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Aging in a Magnetic Particle System. https://app.cochat.ai/papers/10.1103/physrevlett.75.4138
- The paper
- Jonsson, T., Mattsson, J., Djurberg, C., Khan, F. A., Nordblad, P., & Svedlindh, P. (1995). Aging in a Magnetic Particle System. Physical Review Letters. https://doi.org/10.1103/physrevlett.75.4138
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
