The DOI matches its Crossref record; 95 of the 95 references it cites were found in a registry or an index.
Three-dimensional nanomagnetism
Open accessAbstract
Magnetic nanostructures are being developed for use in many aspects of our daily life, spanning areas such as data storage, sensing and biomedicine. Whereas patterned nanomagnets are traditionally two-dimensional planar structures, recent work is expanding nanomagnetism into three dimensions; a move triggered by the advance of unconventional synthesis methods and the discovery of new magnetic effects. In three-dimensional nanomagnets more complex magnetic configurations become possible, many with unprecedented properties. Here we review the creation of these structures and their implications for the emergence of new physics, the development of instrumentation and computational methods, and exploitation in numerous applications. Nanoscale magnetic devices play a key role in modern technologies but current applications involve only 2D structures like magnetic discs. Here the authors review recent progress in the fabrication and understanding of 3D magnetic nanostructures, enabling more diverse functionalities.
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Self-citationNanomagnetic encoding of shape-morphing micromachines
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Evolution in Lithography Techniques: Microlithography to Nanolithography
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2022 roadmap on neuromorphic computing and engineering
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Metadata
- Authors
- Fernández-Pacheco, A., Streubel, R., Fruchart, O., Hertel, R., Fischer, P., & Cowburn, R. P.
- Venue
- Nature Communications
- Published
- 2017-06-09
- Volume
- 8
- Issue
- 1
- Pages
- 15756-15756
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2623975169
- Cited by
- 592
- References
- 95
- FWCI
- 27.38
- Type
- journal article
- Language
- en
- Open access
- gold
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- Fernández-Pacheco, A., Streubel, R., Fruchart, O., Hertel, R., Fischer, P., & Cowburn, R. P. (2017). Three-dimensional nanomagnetism. Nature Communications. https://doi.org/10.1038/ncomms15756
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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.
