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Cited by 555

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

Observation of spin-transfer switching in deep submicron-sized and low-resistance magnetic tunnel junctions

Open access
Huai, Yiming, Albert, Frank, Nguyen, Paul, Pakala, Mahendra, Valet, Thierry·2004·Applied Physics Letters

Abstract

The spin-transfer effect has been studied in magnetic tunnel junctions (PtMn/CoFe/Ru/CoFe/Al2O3/CoFe/NiFe) with dimensions down to 0.1×0.2 μm2 and resistance–area product RA in the range of 0.5–10 Ω μm2 (ΔR/R=1%–20%). Current-induced magnetization switching is observed with a critical current density of about 8×106 A/cm2. The attribution of the switching to the spin-transfer effect is supported by a current-induced ΔR/R value identical to the one obtained from the R versus H measurements. Furthermore, the critical switching current density has clear dependence on the applied magnetic field, consistent with what has been observed previously in the case of spin-transfer-induced switching in metallic multilayer systems.

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Crossref · 10.1063/1.1707228

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Metadata

Authors
Huai, Y., Albert, F., Nguyen, P., Pakala, M., & Valet, T.
Venue
Applied Physics Letters
Published
2004-04-19
Volume
84
Issue
16
Pages
3118-3120
ISSN
  • 0003-6951 (ISSN-L)
  • 1077-3118
OpenAlex
W2038941060
Cited by
555
References
8
FWCI
22.52
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Observation of spin-transfer switching in deep submicron-sized and low-resistance magnetic tunnel junctions. https://app.cochat.ai/papers/10.1063/1.1707228
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Huai, Y., Albert, F., Nguyen, P., Pakala, M., & Valet, T. (2004). Observation of spin-transfer switching in deep submicron-sized and low-resistance magnetic tunnel junctions. Applied Physics Letters. https://doi.org/10.1063/1.1707228

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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.