The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Influence of Dipolar Interaction on Magnetic Properties of Ultrafine Ferromagnetic Particles
Abstract
We use Monte Carlo simulations to study the influence of dipolar interaction and polydispersity on the magnetic properties of single-domain ultrafine ferromagnetic particles. From the zero field cooling (ZFC)/field cooling (FC) simulations we observe that the blocking temperature T(B) clearly increases with increasing strength of interaction, but it is almost not effected by a broadening of the distribution of particle sizes. While the dependence of the ZFC/FC curves on interaction and cooling rate are reminiscent of a spin glass transition at T(B), the relaxational behavior of the magnetic moments below T(B) is not in accordance with the picture of cooperative freezing.
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Computer Simulation of Liquids
Allen, M. P., & Tildesley, D. J. (2017) · doi:10.1093/oso/9780198803195.001.0001 · Cited by 20,945
Computer Simulation of Liquids
P, S., & J, K. (1988) · Journal of Molecular Liquids · doi:10.1016/0167-7322(88)80022-9 · Cited by 15,812
A mechanism of magnetic hysteresis in heterogeneous alloys
Stoner, E. C., & Wohlfarth, E. P. (1948) · Philosophical Transactions of the Royal Society of London. Series A, Mathematical and Physical Sciences · doi:10.1098/rsta.1948.0007 · Cited by 5,405
Thermal Fluctuations of a Single-Domain Particle
Brown, W. F. (1963) · Physical Review · doi:10.1103/physrev.130.1677 · Cited by 3,374
de Leeuw, S. W., Perram, J. W., & Smith, E. R. (1980) · Proceedings of the Royal Society of London. A. Mathematical and Physical Sciences · doi:10.1098/rspa.1980.0135 · Cited by 1,353
A mechanism of magnetic hysteresis in heterogeneous alloys
Stoner, E. C., & Wohlfarth, E. P. (1991) · IEEE Transactions on Magnetics · doi:10.1109/tmag.1991.1183750 · Cited by 959
Höchli, U. T., Knorr, K., & Loidl, A. (1990) · Advances in Physics · doi:10.1080/00018739000101521 · Cited by 716
A dynamic study of small interacting particles: superparamagnetic model and spin-glass laws
Dormann, J. L., Bessais, L., & Fiorani, D. (1988) · Journal of Physics C: Solid State Physics · doi:10.1088/0022-3719/21/10/019 · Cited by 624
Monte Carlo Simulation in Statistical Physics
Binder, K., & Heermann, D. W. (1992) · Springer series in solid-state sciences · doi:10.1007/978-3-662-30273-6 · Cited by 601
Superparamagnetic relaxation of weakly interacting particles
Mørup, S., & Tronc, E. (1994) · Physical Review Letters · doi:10.1103/physrevlett.72.3278 · Cited by 474
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Fundamentals and advances in magnetic hyperthermia
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Metadata
- Authors
- García-Otero, J., Porto, M., Rivas, J., & Bunde, A.
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 2000-01-03
- Volume
- 84
- Issue
- 1
- Pages
- 167-170
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W2025537679
- Cited by
- 298
- References
- 22
- FWCI
- 8.42
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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