The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Screen-Printing Fabrication and Characterization of Stretchable Electronics
Open accessAbstract
This article focuses on the fabrication and characterization of stretchable interconnects for wearable electronics applications. Interconnects were screen-printed with a stretchable silver-polymer composite ink on 50-μm thick thermoplastic polyurethane. The initial sheet resistances of the manufactured interconnects were an average of 36.2 mΩ/◽, and half the manufactured samples withstood single strains of up to 74%. The strain proportionality of resistance is discussed, and a regression model is introduced. Cycling strain increased resistance. However, the resistances here were almost fully reversible, and this recovery was time-dependent. Normalized resistances to 10%, 15%, and 20% cyclic strains stabilized at 1.3, 1.4, and 1.7. We also tested the validity of our model for radio-frequency applications through characterization of a stretchable radio-frequency identification tag.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Kim, D.-H., Lu, N., Ma, R., Kim, Y.-S., Kim, R.-H., Wang, S., Wu, J., Won, S. M., Tao, H., Islam, A., et al. (2011) · Science · doi:10.1126/science.1206157 · Cited by 4,836
Cited by
A New Frontier of Printed Electronics: Flexible Hybrid Electronics
Khan, Y., Thielens, A., Muin, S., Ting, J., Baumbauer, C., & Arias, A. C. (2020) · Advanced Materials · doi:10.1002/adma.201905279 · Cited by 891
Huang, Q., & Zhu, Y. (2019) · Advanced Materials Technologies · doi:10.1002/admt.201800546 · Cited by 482
Review of Flexible Temperature Sensing Networks for Wearable Physiological Monitoring
Li, Q., Zhang, L., Tao, X., & Ding, X. (2017) · Advanced Healthcare Materials · doi:10.1002/adhm.201601371 · Cited by 354
Yang, Y., Deng, H., & Fu, Q. (2020) · Materials Chemistry Frontiers · doi:10.1039/d0qm00308e · Cited by 316
Neuro-inspired electronic skin for robots
Liu, F., Deswal, S., Christou, A., Sandamirskaya, Y., Kaboli, M., & Dahiya, R. (2022) · Science Robotics · doi:10.1126/scirobotics.abl7344 · Cited by 300
Metadata
- Authors
- Suikkola, J., Björninen, T., Mosallaei, M., Kankkunen, T., Iso-Ketola, P., Ukkonen, L., Vanhala, J., & Mäntysalo, M.
- Venue
- Scientific Reports
- Published
- 2016-05-13
- Volume
- 6
- Issue
- 1
- Pages
- 25784-25784
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W2375052763
- Cited by
- 201
- References
- 1
- FWCI
- 9.45
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
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.