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Cited by 342

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

Scalable Interconnection and Integration of Nanowire Devices without Registration

Jin, Song, Whang, Dongmok, McAlpine, Michael C., Friedman, Robin S., Wu, Yue, Lieber, Charles M.·2004·Nano Letters

Abstract

A general strategy for the parallel and scalable integration of nanowire devices over large areas without the need to register individual nanowire−electrode interconnects has been developed. The approach was implemented using a Langmuir−Blodgett method to organize nanowires with controlled alignment and spacing over large areas and photolithography to define interconnects. Centimeter-scale arrays containing thousands of single silicon nanowire field-effect transistors were fabricated in this way and were shown to exhibit both high performance with unprecedented reproducibility and scalability to at least the 100-nm level. Moreover, scalable device characteristics were demonstrated by interconnecting a controlled number of nanowires per transistor in “pixel-like” device arrays. The general applicability of this approach to other nanowire and nanotube building blocks could enable the assembly, interconnection, and integration of a broad range of functional nanosystems.

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Metadata

Authors
Jin, S., Whang, D., McAlpine, M. C., Friedman, R. S., Wu, Y., & Lieber, C. M.
Venue
Nano Letters
Published
2004-04-10
Volume
4
Issue
5
Pages
915-919
ISSN
  • 1530-6984 (ISSN-L)
  • 1530-6992
OpenAlex
W2165570339
Cited by
342
References
2
FWCI
20.69
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Scalable Interconnection and Integration of Nanowire Devices without Registration. https://app.cochat.ai/papers/10.1021/nl049659j
The paper
Jin, S., Whang, D., McAlpine, M. C., Friedman, R. S., Wu, Y., & Lieber, C. M. (2004). Scalable Interconnection and Integration of Nanowire Devices without Registration. Nano Letters. https://doi.org/10.1021/nl049659j

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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.