The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Magnetic remanence in single atoms
Open accessAbstract
Stable magnets from single atoms: An important goal in molecular magnetism is to create a permanent magnet from a single atom. Metal atoms adsorbed on surfaces can develop strong magnetization in an applied field (paramagnetism). Donati et al. show that single holmium atoms adsorbed on a magnesium oxide film grown on a silver substrate show residual magnetism for temperatures up to 30 K and bistabilty that lasts for 1500 s at 10 K (see the Perspective by Khajetoorians and Heinrich). The atom avoids spin relaxation by a combination of quantum-state symmetry and by the oxide film preventing the spin from interacting with the underlying metal via tunneling. Science , this issue p. 318 ; see also p. 296
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Cites
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Cited by
Catalysis by Supported Single Metal Atoms
Liu, J. (2017) · ACS Catalysis · doi:10.1021/acscatal.6b01534 · Cited by 1,331
Auwärter, W. (2019) · Surface Science Reports · doi:10.1016/j.surfrep.2018.10.001 · Cited by 264
Metadata
- Authors
- Donati, F., Rusponi, S., Stepanow, S., Wäckerlin, C., Singha, A., Persichetti, L., Baltic, R., Diller, K., Patthey, F., Fernandes, E., Dreiser, J., Šljivančanin, Ž., Kummer, K., Nistor, C., Gambardella, P., & Brune, H.
- Venue
- Science
- Published
- 2016-04-15
- Volume
- 352
- Issue
- 6283
- Pages
- 318-321
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2339375504
- Cited by
- 329
- References
- 27
- FWCI
- 22.07
- Type
- journal article
- Language
- en
- Open access
- green
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- Donati, F., Rusponi, S., Stepanow, S., Wäckerlin, C., Singha, A., Persichetti, L., Baltic, R., Diller, K., Patthey, F., Fernandes, E., Dreiser, J., Šljivančanin, Ž., Kummer, K., Nistor, C., Gambardella, P., & Brune, H. (2016). Magnetic remanence in single atoms. Science. https://doi.org/10.1126/science.aad9898
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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.
