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Cited by 246

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Surface Conductance Induced Dielectrophoresis of Semiconducting Single-Walled Carbon Nanotubes

Krupke, Ralph, Hennrich, Frank, Kappes, Manfred M., v. Löhneysen, Hilbert·2004·Nano Letters

Abstract

Dielectrophoresis on surfactant-stabilized single-walled carbon nanotube (SWNT) suspensions has been demonstrated to separate metallic from semiconducting tubes by their different electric field-induced polarizabilities. Here we report that the interaction between SWNTs and the surfactant induces a nanotube surface conductance which gives rise to a unique electric field frequency dependence of the nanotube dielectrophoresis. We observe a surfactant concentration dependent crossover frequency enabling separation of metallic from semiconducting SWNTs at high frequency and deposition of metallic and semiconducting SWNTs at low frequency − both being important aspects for building nanotube-based electronics. Moreover, the data demonstrate that the theoretical description of dielectrophoretic forces is valid beyond the dimensions of cells or viruses.

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Metadata

Authors
Krupke, R., Hennrich, F., Kappes, M. M., & v. Löhneysen, H.
Venue
Nano Letters
Published
2004-07-13
Volume
4
Issue
8
Pages
1395-1399
ISSN
  • 1530-6984 (ISSN-L)
  • 1530-6992
OpenAlex
W2057714442
Cited by
246
References
1
FWCI
12.50
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Surface Conductance Induced Dielectrophoresis of Semiconducting Single-Walled Carbon Nanotubes. https://app.cochat.ai/papers/10.1021/nl0493794
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Krupke, R., Hennrich, F., Kappes, M. M., & v. Löhneysen, H. (2004). Surface Conductance Induced Dielectrophoresis of Semiconducting Single-Walled Carbon Nanotubes. Nano Letters. https://doi.org/10.1021/nl0493794

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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.