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  Network cracks-based wearable strain sensors for subtle and large strain detection of human motions

Wang, S., Xiao, P., Liang, Y., Zhang, J. W., Huang, Y., Wu, S., et al. (2018). Network cracks-based wearable strain sensors for subtle and large strain detection of human motions. Journal of Materials Chemistry C, 6(19), 5140-5147. doi:10.1039/c8tc00433a.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0001-6BC7-7 Version Permalink: https://hdl.handle.net/21.11116/0000-0002-529E-0
Genre: Journal Article

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 Creators:
Wang, S., Author
Xiao, P., Author
Liang, Y., Author
Zhang, J. W., Author
Huang, Youju1, Author           
Wu, Si1, Author           
Kuo, S. W., Author
Chen, T., Author
Affiliations:
1Dept. Butt: Physics at Interfaces, MPI for Polymer Research, Max Planck Society, ou_1800286              

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Language(s): eng - English
 Dates: 2018
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1039/c8tc00433a
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Title: Journal of Materials Chemistry C
  Other : Journal of Materials Chemistry C: Materials for Optical and Electronic Devices
  Abbreviation : J. Mater. Chem. C
Source Genre: Journal
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Publ. Info: London, UK : Royal Society of Chemistry
Pages: - Volume / Issue: 6 (19) Sequence Number: - Start / End Page: 5140 - 5147 Identifier: ISSN: 2050-7526
CoNE: https://pure.mpg.de/cone/journals/resource/2050-7526