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Cited by 403

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Spin Wave Wells in Nonellipsoidal Micrometer Size Magnetic Elements

Jorzick, J., Demokritov, S. O., Hillebrands, B., Bailleul, M., Fermon, C., Guslienko, K. Y., Slavin, A. N., Berkov, D. V., Gorn, N. L.·2002·Physical Review Letters

Abstract

We show experimentally and by model calculations that in finite, nonellipsoidal, micrometer size magnetic thin film elements the dynamic magnetic eigenexcitations (spin waves) may exhibit strong spatial localization. This localization is due to the formation of a potential well for spin waves in the highly inhomogeneous internal magnetic field within the element.

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Cited by

  • The 2021 Magnonics Roadmap

    Barman, A., Gubbiotti, G., Ladak, S., Adeyeye, A. O., Krawczyk, M., Gräfe, J., Adelmann, C., Cotofana, S., Naeemi, A., Vasyuchka, V. I., et al. (2021) · Journal of Physics: Condensed Matter · doi:10.1088/1361-648x/abec1a · Cited by 574

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Metadata

Authors
Jorzick, J., Demokritov, S. O., Hillebrands, B., Bailleul, M., Fermon, C., Guslienko, K. Y., Slavin, A. N., Berkov, D. V., & Gorn, N. L.
Venue
Physical Review Letters
Published
2002-01-14
Volume
88
Issue
4
Pages
047204-047204
ISSN
  • 0031-9007 (ISSN-L)
  • 1079-7114
OpenAlex
W2005204447
Cited by
403
References
8
FWCI
14.33
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Spin Wave Wells in Nonellipsoidal Micrometer Size Magnetic Elements. https://app.cochat.ai/papers/10.1103/physrevlett.88.047204
The paper
Jorzick, J., Demokritov, S. O., Hillebrands, B., Bailleul, M., Fermon, C., Guslienko, K. Y., Slavin, A. N., Berkov, D. V., & Gorn, N. L. (2002). Spin Wave Wells in Nonellipsoidal Micrometer Size Magnetic Elements. Physical Review Letters. https://doi.org/10.1103/physrevlett.88.047204

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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.