The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Detecting topological currents in graphene superlattices
Open accessAbstract
Making use of graphene's valleys: Graphene has two distinct valleys in its electronic structure, in which the electrons have the same energy. Theorists have predicted that creating an asymmetry between the two valleys will coax graphene into exhibiting the so-called valley Hall effect (VHE). In this effect, electrons from the two valleys move across the sample in opposite directions when the experimenters run current along the sample. Gorbachev et al. achieved this asymmetry by aligning graphene with an underlying layer of hexagonalboron nitride (hBN) (see the Perspective by Lundeberg and Folk). The authors measured the transport characteristics of the sample, which were consistent with the theoretical predictions for the VHE. The method may in the future lead to information processing using graphene's valleys. Science , this issue p. 448 ; see also p. 422
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Cites
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Metadata
- Authors
- Gorbachev, R. V., Song, J. C. W., Yu, G. L., Kretinin, A. V., Withers, F., Cao, Y., Mishchenko, A., Grigorieva, I. V., Novoselov, K. S., Levitov, L. S., & Geim, A. K.
- Venue
- Science
- Published
- 2014-10-24
- Volume
- 346
- Issue
- 6208
- Pages
- 448-451
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2083191451
- Cited by
- 737
- References
- 8
- FWCI
- 36.44
- Type
- journal article
- Language
- en
- Open access
- green
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- Gorbachev, R. V., Song, J. C. W., Yu, G. L., Kretinin, A. V., Withers, F., Cao, Y., Mishchenko, A., Grigorieva, I. V., Novoselov, K. S., Levitov, L. S., & Geim, A. K. (2014). Detecting topological currents in graphene superlattices. Science. https://doi.org/10.1126/science.1254966
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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