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Cited by 159

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

Printable stretchable interconnects

Open access
Dang, Wenting, Vinciguerra, Vincenzo, Lorenzelli, Leandro, Dahiya, Ravinder·2017·Flexible and Printed Electronics

Abstract

This article presents recent progress and a comprehensive overview of stretchable interconnects based on printable nanocomposites. Nanocomposite-based inks for printed stretchable interconnects have been categorized according to dispersed filler materials. They comprise of carbon-based fillers and metal-based fillers. Benefits in terms of excellent electrical performance and elastic properties make nanocomposites the ideal candidates for stretchable interconnect applications. Deeper analysis of nanocomposites-based stretchable interconnects includes the correlation between the size of fillers, percolation ratio, maximum electrical conductivity and mechanical elasticity. The key trends in the field have been highlighted using curve fitting methods on large data collected from the literature. Furthermore, a wide variety of applications for stretchable interconnects are presented.

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Registry

Crossref · 10.1088/2058-8585/aa5ab2

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Metadata

Authors
Dang, W., Vinciguerra, V., Lorenzelli, L., & Dahiya, R.
Venue
Flexible and Printed Electronics
Published
2017-03-01
Volume
2
Issue
1
Pages
013003
ISSN
2058-8585 (ISSN-L)
OpenAlex
W2565484961
Cited by
159
References
13
FWCI
9.51
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Printable stretchable interconnects. https://app.cochat.ai/papers/10.1088/2058-8585/aa5ab2
The paper
Dang, W., Vinciguerra, V., Lorenzelli, L., & Dahiya, R. (2017). Printable stretchable interconnects. Flexible and Printed Electronics. https://doi.org/10.1088/2058-8585/aa5ab2

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.