The DOI matches its Crossref record; 297 of the 297 references it cites were found in a registry or an index.
Nanomaterial Patterning in 3D Printing
Open accessAbstract
The synergistic integration of nanomaterials with 3D printing technologies can enable the creation of architecture and devices with an unprecedented level of functional integration. In particular, a multiscale 3D printing approach can seamlessly interweave nanomaterials with diverse classes of materials to impart, program, or modulate a wide range of functional properties in an otherwise passive 3D printed object. However, achieving such multiscale integration is challenging as it requires the ability to pattern, organize, or assemble nanomaterials in a 3D printing process. This review highlights the latest advances in the integration of nanomaterials with 3D printing, achieved by leveraging mechanical, electrical, magnetic, optical, or thermal phenomena. Ultimately, it is envisioned that such approaches can enable the creation of multifunctional constructs and devices that cannot be fabricated with conventional manufacturing approaches.
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Cites
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Cited by
Wang, H., Zhang, W., Ladika, D., Yu, H., Gailevičius, D., Wang, H., Pan, C., Nair, P. N. S., Ke, Y., Mori, T., et al. (2023) · Advanced Functional Materials · doi:10.1002/adfm.202214211 · Cited by 401
3D Printing of Multilayered and Multimaterial Electronics: A Review
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Metadata
- Authors
- Elder, B., Neupane, R., Tokita, E., Ghosh, U., Hales, S., & Kong, Y. L.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2020-03-04
- Volume
- 32
- Issue
- 17
- Pages
- e1907142-e1907142
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W3009755277
- Cited by
- 265
- References
- 297
- FWCI
- 13.49
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Elder, B., Neupane, R., Tokita, E., Ghosh, U., Hales, S., & Kong, Y. L. (2020). Nanomaterial Patterning in 3D Printing. Advanced Materials. https://doi.org/10.1002/adma.201907142
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.
