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Cited by 263

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Substrate selection for high-temperature superconducting thin films

Phillips, Julia M.·1996·Journal of Applied Physics

Abstract

Substrate selection presents particular challenges for the production of high-quality high-temperature superconducting (HTS) thin films suitable for applications. Because the substrate is generally a passive component, it is often ignored and assumed to have a negligible effect on the structure residing on top of it. There is also a technological motivation to use substrates that conventional wisdom would argue are unlikely to support high-quality HTS films. These facts have led to rediscovery of many of the fundamental issues governing the role of the substrate in determining the properties of the thin film(s) it supports. For this reason, the study of issues in substrate selection for HTS materials presents a microcosm for substrate selection more generally. We consider the major issues governing the role of the substrate in HTS thin-film technology and discuss many of the material classes and specific materials that have been studied for their suitability as substrates for HTS films.

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Metadata

Authors
Phillips, J. M.
Venue
Journal of Applied Physics
Published
1996-02-15
Volume
79
Issue
4
Pages
1829-1848
ISSN
  • 0021-8979 (ISSN-L)
  • 1089-7550
OpenAlex
W2081529037
Cited by
263
References
13
FWCI
20.30
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Substrate selection for high-temperature superconducting thin films. https://app.cochat.ai/papers/10.1063/1.362675
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Phillips, J. M. (1996). Substrate selection for high-temperature superconducting thin films. Journal of Applied Physics. https://doi.org/10.1063/1.362675

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.