The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.
Spintronic devices for energy-efficient data storage and energy harvesting
Open accessAbstract
The current data revolution has, in part, been enabled by decades of research into magnetism and spin phenomena. For example, milestones such as the observation of giant magnetoresistance, and the resulting development of the spin-valve read head, continue to motivate device research. However, the ever-growing need for higher data processing speeds and larger data storage capabilities has caused a significant increase in energy consumption and environmental concerns. Ongoing research and development in spintronics should therefore reduce energy consumption while increasing information processing capabilities. Here, we provide an overview of the current status of research and technology developments in data storage and spin-mediated energy harvesting in relation to energy-efficient technologies. We give our perspective on the advantages and outstanding issues for various data-storage concepts, and energy conversion mechanisms enabled by spin.
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Cites
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Metadata
- Authors
- Puebla, J., Kim, J., Kondou, K., & Otani, Y.
- Venue
- Communications Materials
- Published
- 2020-05-07
- Volume
- 1
- Issue
- 1
- ISSN
- 2662-4443 (ISSN-L)
- OpenAlex
- W3021590278
- Cited by
- 303
- References
- 65
- FWCI
- 13.78
- Type
- journal article
- Language
- en
- Open access
- gold
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- Puebla, J., Kim, J., Kondou, K., & Otani, Y. (2020). Spintronic devices for energy-efficient data storage and energy harvesting. Communications Materials. https://doi.org/10.1038/s43246-020-0022-5
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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.
