The DOI matches its Crossref record.
Self‐Healing Stretchable Wires for Reconfigurable Circuit Wiring and 3D Microfluidics
Abstract
This article describes the fabrication of self-healing stretchable wires formed by embedding liquid metal wires in microchannels composed of self-healing polymer. These stretchable wires can be completely severed with scissors and rapidly self-heal both mechanically and electrically at ambient conditions. By cutting the channels strategically, the pieces can be re-assembled in a different order to form complex microfluidic networks in 2D or 3D space.
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
Cited by
Lab-on-Skin: A Review of Flexible and Stretchable Electronics for Wearable Health Monitoring
Liu, Y., Pharr, M., & Salvatore, G. A. (2017) · ACS Nano · doi:10.1021/acsnano.7b04898 · Cited by 1,725
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
Bio-Integrated Wearable Systems: A Comprehensive Review
Ray, T. R., Choi, J., Bandodkar, A. J., Krishnan, S., Gutruf, P., Tian, L., Ghaffari, R., & Rogers, J. A. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00573 · Cited by 1,350
Soft Microfluidic Assemblies of Sensors, Circuits, and Radios for the Skin
Xu, S., Zhang, Y., Jia, L., Mathewson, K. E., Jang, K.-I., Kim, J., Fu, H., Huang, X., Chava, P., Wang, R., et al. (2014) · Science · doi:10.1126/science.1250169 · Cited by 1,199
Markvicka, E. J., Bartlett, M. D., Huang, X., & Majidi, C. (2018) · Nature Materials · doi:10.1038/s41563-018-0084-7 · Cited by 1,067
Metadata
- Authors
- Palleau, E., Reece, S., Desai, S. C., Smith, M. E., & Dickey, M. D.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2013-01-18
- Volume
- 25
- Issue
- 11
- Pages
- 1589-1592
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2084414731
- Cited by
- 432
- References
- 0
- FWCI
- 24.19
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Self‐Healing Stretchable Wires for Reconfigurable Circuit Wiring and 3D Microfluidics. https://app.cochat.ai/papers/10.1002/adma.201203921
- The paper
- Palleau, E., Reece, S., Desai, S. C., Smith, M. E., & Dickey, M. D. (2013). Self‐Healing Stretchable Wires for Reconfigurable Circuit Wiring and 3D Microfluidics. Advanced Materials. https://doi.org/10.1002/adma.201203921
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.