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Cited by 823

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

Sensitive electromechanical sensors using viscoelastic graphene-polymer nanocomposites

Open access
Boland, Conor S., Khan, Umar, Ryan, Gavin, Barwich, Sebastian, Charifou, Romina, Harvey, Andrew, Backes, Claudia, Li, Zheling, Ferreira, Mauro S., Möbius, Matthias E., Young, Robert J., Coleman, Jonathan N.·2016·Science

Abstract

Super sensitive, not so silly, putty: Many composites blend stiff materials, such as glass or carbon fibers, into a softer elastic polymer matrix to generate a material with better overall mechanical toughness. Boland et al. added graphene to a lightly cross-linked silicone polymer (also known as Silly Putty). The resulting composite has unusual mechanical properties, allowing the manufacture of strain sensors that can detect respiration and the footsteps of spiders. Science , this issue p. 1257

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Crossref · 10.1126/science.aag2879

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Metadata

Authors
Boland, C. S., Khan, U., Ryan, G., Barwich, S., Charifou, R., Harvey, A., Backes, C., Li, Z., Ferreira, M. S., Möbius, M. E., Young, R. J., & Coleman, J. N.
Venue
Science
Published
2016-12-09
Volume
354
Issue
6317
Pages
1257-1260
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2560030413
Cited by
823
References
2
FWCI
44.68
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Sensitive electromechanical sensors using viscoelastic graphene-polymer nanocomposites. https://app.cochat.ai/papers/10.1126/science.aag2879
The paper
Boland, C. S., Khan, U., Ryan, G., Barwich, S., Charifou, R., Harvey, A., Backes, C., Li, Z., Ferreira, M. S., Möbius, M. E., Young, R. J., & Coleman, J. N. (2016). Sensitive electromechanical sensors using viscoelastic graphene-polymer nanocomposites. Science. https://doi.org/10.1126/science.aag2879

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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.