The DOI matches its Crossref record.
Liquid-Phase Gallium–Indium Alloy Electronics with Microcontact Printing
Abstract
Liquid-phase electronic circuits are patterned on an elastomer substrate with a microcontact printer. The printer head dips into a pool of a liquid-phase gallium-indium alloy, e.g., eutectic gallium-indium (EGaIn) or gallium-indium-tin (Galinstan), and deposits a single drop on a silicone elastomer substrate. After patterned deposition, the liquid-phase circuit is sealed with an additional layer of silicone elastomer. We also demonstrate patterned deposition of the liquid-phase GaIn alloy with a molded polydimethylsiloxane stamp that is manually inked and pressed into an elastomer substrate. As with other liquid-phase electronics produced through needle injection or masked deposition, the circuit is elastically deformable and can be stretched to several times its natural length without losing electronic functionality. In contrast to existing fabrication techniques, microcontact printing and stamp lithography can be used to produce circuits with any planar geometric feature, including electrodes with large planar area, intersecting and closed-loop wires, and combs with multiple terminal electrodes. In air, the surface of the coalesced droplets oxidize to form a thin oxide skin that preserves the shape of the circuit during sealing. This first demonstration of soft-lithography fabrication with liquid-phase GaIn alloy expands the space of allowable circuit geometries and eliminates the need for mold or mask fabrication.
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
Emerging Applications of Liquid Metals Featuring Surface Oxides
Dickey, M. D. (2014) · ACS Applied Materials & Interfaces · doi:10.1021/am5043017 · Cited by 719
A wearable cardiac ultrasound imager
Hu, H., Huang, H., Li, M., Gao, X., Yin, L., Qi, R., Wu, R. S., Chen, X., Ma, Y., Shi, K., et al. (2023) · Nature · doi:10.1038/s41586-022-05498-z · Cited by 644
Liquid metal enabled microfluidics
Khoshmanesh, K., Tang, S.-Y., Zhu, J. Y., Schaefer, S., Mitchell, A., Kalantar-zadeh, K., & Dickey, M. D. (2017) · Lab on a Chip · doi:10.1039/c7lc00046d · Cited by 458
Liquid‐Phase Metal Inclusions for a Conductive Polymer Composite
Fassler, A., & Majidi, C. (2015) · Advanced Materials · doi:10.1002/adma.201405256 · Cited by 409
Self-citationMethods to pattern liquid metals
Joshipura, I. D., Ayers, H. R., Majidi, C., & Dickey, M. D. (2015) · Journal of Materials Chemistry C · doi:10.1039/c5tc00330j · Cited by 326
Self-citationDesign of conductive composite elastomers for stretchable electronics
Park, M., Park, J., & Jeong, U. (2014) · Nano Today · doi:10.1016/j.nantod.2014.04.009 · Cited by 295
3D printed anatomical nerve regeneration pathways
Johnson, B. N., Lancaster, K. Z., Zhen, G., He, J., Gupta, M. K., Kong, Y. L., Engel, E. A., Krick, K. D., Ju, A., Meng, F., et al. (2015) · Advanced Functional Materials · doi:10.1002/adfm.201501760 · Cited by 293
Doudrick, K., Liu, S., Mutunga, E. M., Klein, K. L., Damle, V., Varanasi, K. K., & Rykaczewski, K. (2014) · Langmuir · doi:10.1021/la5012023 · Cited by 285
3D Printed Sensors for Biomedical Applications: A Review
Han, T., Kundu, S., Nag, A., & Xu, Y. (2019) · Sensors · doi:10.3390/s19071706 · Cited by 266
Highly deformable liquid-state heterojunction sensors
Ota, H., Chen, K., Lin, Y., Kiriya, D., Shiraki, H., Yu, Z., Ha, T.-J., & Javey, A. (2014) · Nature Communications · doi:10.1038/ncomms6032 · Cited by 264
Vacuum filling of complex microchannels with liquid metal
Lin, Y., Gordon, O., Khan, M. R., Vasquez, N., Genzer, J., & Dickey, M. D. (2017) · Lab on a Chip · doi:10.1039/c7lc00426e · Cited by 257
A Path Beyond Metal and Silicon:Polymer/Nanomaterial Composites for Stretchable Strain Sensors
Qiu, A., Li, P., Yang, Z., Yao, Y., Lee, I., & Ma, J. (2019) · Advanced Functional Materials · doi:10.1002/adfm.201806306 · Cited by 237
Heterogeneous sensing in a multifunctional soft sensor for human-robot interfaces
Kim, T., Lee, S., Hong, T., Shin, G., Kim, T., & Park, Y.-L. (2020) · Science Robotics · doi:10.1126/scirobotics.abc6878 · Cited by 235
Material approaches to stretchable strain sensors
Park, J., You, I., Shin, S., & Jeong, U. (2015) · ChemPhysChem · doi:10.1002/cphc.201402810 · Cited by 216
Nanofabrication for all-soft and high-density electronic devices based on liquid metal
Kim, M.-G., Brown, D. K., & Brand, O. (2020) · Nature Communications · doi:10.1038/s41467-020-14814-y · Cited by 186
Metadata
- Authors
- Tabatabai, A., Fassler, A., Usiak, C., & Majidi, C.
- Venue
- Langmuir
- Publisher
- American Chemical Society (ACS)
- Published
- 2013-05-09
- Volume
- 29
- Issue
- 20
- Pages
- 6194-6200
- ISSN
- 0743-7463 (ISSN-L)
- 1520-5827
- OpenAlex
- W1980023363
- Cited by
- 293
- References
- 0
- FWCI
- 11.98
- 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
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.