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Cited by 459

The DOI matches its Crossref record; 130 of the 130 references it cites were found in a registry or an index.

Organic spintronics

Naber, W J M, Faez, S, Wiel, W G van der·2007·Journal of Physics D: Applied Physics

Abstract

We review the emerging field of organic spintronics, where organic materials are applied as a medium to transport and control spin-polarized signals. The contacts for injecting and detecting spins are formed by ferromagnetic metals, oxides, or inorganic semiconductors. First, the basic concepts of spintronics and organic electronics are addressed, and phenomena which are in particular relevant for organic spintronics are highlighted. Experiments using different organic materials, including carbon nanotubes, organic thin films, self-assembled monolayers and single molecules are then reviewed. Observed magnetoresistance points toward successful spin injection and detection, but spurious magnetoresistance effects can easily be confused with spin accumulation. A few studies report long spin relaxation times and lengths, which forms a promising basis for further research. We conclude with discussing outstanding questions and problems.

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Crossref · 10.1088/0022-3727/40/12/r01

Cites

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Metadata

Authors
Naber, W. J. M., Faez, S., & Wiel, W. G. V. D.
Venue
Journal of Physics D: Applied Physics
Published
2007-06-04
Volume
40
Issue
12
Pages
R205-R228
ISSN
  • 0022-3727 (ISSN-L)
  • 1361-6463
OpenAlex
W3033680999
Cited by
459
References
130
FWCI
22.41
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Organic spintronics. https://app.cochat.ai/papers/10.1088/0022-3727/40/12/r01
The paper
Naber, W. J. M., Faez, S., & Wiel, W. G. V. D. (2007). Organic spintronics. Journal of Physics D: Applied Physics. https://doi.org/10.1088/0022-3727/40/12/r01

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.