The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Liquid‐Phase Metal Inclusions for a Conductive Polymer Composite
Abstract
A highly stretchable and conductive poly(dimethylsiloxane)–galinstan composite that exhibits unique electromechanical coupling is developed. Compression irreversibly induces conductivity in the virgin material, and allows for the ability to draw circuits into the composite via selectively applying force. Tensile loading causes an apparent increase in volumetric conductivity, resulting in only modest resistance change when the material is under strains as high as 100%.
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Cites
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Skin-like pressure and strain sensors based on transparent elastic films of carbon nanotubes
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Mechanical characterization of bulk Sylgard 184 for microfluidics and microengineering
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3D Printing of Free Standing Liquid Metal Microstructures
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Highly conductive, printable and stretchable composite films of carbon nanotubes and silver
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Cited by
Yang, J. C., Mun, J., Kwon, S. Y., Park, S., Bao, Z., & Park, S. (2019) · Advanced Materials · doi:10.1002/adma.201904765 · Cited by 1,641
Markvicka, E. J., Bartlett, M. D., Huang, X., & Majidi, C. (2018) · Nature Materials · doi:10.1038/s41563-018-0084-7 · Cited by 1,067
Self-citationRecent Progress on Stretchable Electronic Devices with Intrinsically Stretchable Components
Trung, T. Q., & Lee, N. (2017) · Advanced Materials · doi:10.1002/adma.201603167 · Cited by 497
Metadata
- Authors
- Fassler, A., & Majidi, C.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2015-02-04
- Volume
- 27
- Issue
- 11
- Pages
- 1928-1932
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2162173380
- Cited by
- 409
- References
- 32
- FWCI
- 12.35
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
