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Cited by 1,831

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Anisotropic magnetoresistance in ferromagnetic 3d alloys

McGuire, T., Potter, R.·1975·IEEE Transactions on Magnetics

Abstract

The anisotropic magnetoresistance effect in 3d transition metals and alloys is reviewed. This effect, found in ferromagnets, depends on the orientation of the magnetization with respect to the electric current direction in the material. At room temperature, the anisotropic resistance in alloys of Ni-Fe and Ni-Co can be greater than 5%. The theoretical basis takes into account spin orbit coupling and d band splitting. Other properties such as permeability, magnetostriction, and Hall voltage have no simple relationship to magnetoresistance. Anisotropic magnetoresistance has an important use as a magnetic field detector for digital recording and magnetic bubbles. Such detectors because of their small size are fabricated using thin film technology. Film studies show that thickness, grain size, and deposition parameters play a significant role in determining the percentage change in magnetoresistance. In general, the change is smaller in films than bulk materials. Several tables and graphs that list bulk and film data are presented.

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Crossref · 10.1109/tmag.1975.1058782

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Metadata

Authors
McGuire, T., & Potter, R.
Venue
IEEE Transactions on Magnetics
Published
1975-07
Volume
11
Issue
4
Pages
1018-1038
ISSN
0018-9464 (ISSN-L)
OpenAlex
W2099986004
Cited by
1,831
References
2
FWCI
3.35
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Anisotropic magnetoresistance in ferromagnetic 3d alloys. https://app.cochat.ai/papers/10.1109/tmag.1975.1058782
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McGuire, T., & Potter, R. (1975). Anisotropic magnetoresistance in ferromagnetic 3d alloys. IEEE Transactions on Magnetics. https://doi.org/10.1109/tmag.1975.1058782

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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.