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Cited by 280

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

Supercritical Fluid–Liquid–Solid (SFLS) Synthesis of Si and Ge Nanowires Seeded by Colloidal Metal Nanocrystals

Hanrath, T., Korgel, B.A.·2003·Advanced Materials

Abstract

Semiconductor nanowires, 5 to 20 nm in diameter and micrometers in length, appear to be promising candidates for a variety of new technologies, including computing, memory, and sensor applications. Suitable for these applications, silicon (Si) and germanium (Ge) nanowires ranging from 4 to 30 nm in diameter and micrometers in length can be produced in high temperature supercritical fluids by thermally degrading organosilane or organogermane precursors in the presence of organic‐monolayer‐protected gold nanocrystals. Although gas phase vapor–liquid–solid (VLS) methods can be used to produce a variety of different nanowire materials, high temperature supercritical fluids provide wire size control through nanocrystal size selection prior to synthesis, and high product yields due to the high precursor solubility.

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Crossref · 10.1002/adma.200390101

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Metadata

Authors
Hanrath, T., & Korgel, B. A.
Venue
Advanced Materials
Publisher
Wiley
Published
2003-03-04
Volume
15
Issue
5
Pages
437-440
ISSN
  • 0935-9648 (ISSN-L)
  • 1521-4095
OpenAlex
W1995792856
Cited by
280
References
17
FWCI
13.83
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Supercritical Fluid–Liquid–Solid (SFLS) Synthesis of Si and Ge Nanowires Seeded by Colloidal Metal Nanocrystals. https://app.cochat.ai/papers/10.1002/adma.200390101
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Hanrath, T., & Korgel, B. A. (2003). Supercritical Fluid–Liquid–Solid (SFLS) Synthesis of Si and Ge Nanowires Seeded by Colloidal Metal Nanocrystals. Advanced Materials. https://doi.org/10.1002/adma.200390101

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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.