The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Liquid Metal Direct Write and 3D Printing: A Review
Abstract
This review discusses methods, challenges, and opportunities for direct‐write and 3D printing of low melting point, gallium‐based liquid metal alloys at room temperature. Alloys of gallium exhibit high conductivity and high stretchability making them well suited for use in soft circuitry for stretchable electronics and soft robotics. In addition, the liquid nature of the metal enables entirely new ways to pattern metals at room temperature; herein, the focus is placed on additive printing via nozzle‐based methods. Room temperature printing of liquid metals enables rapid fabrication of complex geometries (with dimensions as small as 10 µm) on a wide range of materials, such as polymers. These processes can be used to make metallic conductors for devices with self‐healing capabilities, soft/stretchable electrodes, and sensors.
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Citations
Cites
Metal Additive Manufacturing: A Review
Frazier, W. E. (2014) · Journal of Materials Engineering and Performance · doi:10.1007/s11665-014-0958-z · Cited by 5,984
Cited by
Liquid Metal‐Based Soft Electronics for Wearable Healthcare
Park, Y., Lee, G., Jang, J., Yun, S. M., Kim, E., & Park, J. (2021) · Advanced Healthcare Materials · doi:10.1002/adhm.202002280 · Cited by 258
Metadata
- Authors
- Neumann, T. V., & Dickey, M. D.
- Venue
- Advanced Materials Technologies
- Publisher
- Wiley
- Published
- 2020-06-09
- Volume
- 5
- Issue
- 9
- ISSN
- 2365-709X (ISSN-L)
- OpenAlex
- W3034390642
- Cited by
- 332
- References
- 1
- FWCI
- 14.68
- Type
- journal article
- Language
- en
- Open access
- closed
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- Neumann, T. V., & Dickey, M. D. (2020). Liquid Metal Direct Write and 3D Printing: A Review. Advanced Materials Technologies. https://doi.org/10.1002/admt.202000070
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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.
