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Cited by 696

The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.

All-optical control of ferromagnetic thin films and nanostructures

Open access
Lambert, C-H., Mangin, S., Varaprasad, B. S. D. Ch. S., Takahashi, Y. K., Hehn, M., Cinchetti, M., Malinowski, G., Hono, K., Fainman, Y., Aeschlimann, M., Fullerton, E. E.·2014·Science

Abstract

All-optical magnetic state switching: Magneto-optical memory storage media, such as hard drives, use magnetic fields to change the magnetization of memory bits, but the process is slow. Light can often reveal information about the magnetization state of a sample, such as its field direction. Lambert et al. show that under the right circumstances, light can also switch the magnetization state of a thin ferromagnetic film. Using light pulses instead of magnetic fields led to ultrafast data memory and data storage. Science , this issue p. 1337

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Crossref · 10.1126/science.1253493

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Metadata

Authors
Lambert, C.-H., Mangin, S., Varaprasad, B. S. D. C. S., Takahashi, Y. K., Hehn, M., Cinchetti, M., Malinowski, G., Hono, K., Fainman, Y., Aeschlimann, M., & Fullerton, E. E.
Venue
Science
Published
2014-09-12
Volume
345
Issue
6202
Pages
1337-1340
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1992866046
Cited by
696
References
28
FWCI
29.28
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: All-optical control of ferromagnetic thin films and nanostructures. https://app.cochat.ai/papers/10.1126/science.1253493
The paper
Lambert, C.-H., Mangin, S., Varaprasad, B. S. D. C. S., Takahashi, Y. K., Hehn, M., Cinchetti, M., Malinowski, G., Hono, K., Fainman, Y., Aeschlimann, M., & Fullerton, E. E. (2014). All-optical control of ferromagnetic thin films and nanostructures. Science. https://doi.org/10.1126/science.1253493

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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.