The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Conductance of p-n-p Graphene Structures with “Air-Bridge” Top Gates
Open accessAbstract
We have fabricated graphene devices with a top gate separated from the graphene layer by an air gap-a design which does not decrease the mobility of charge carriers under the gate. This gate is used to realize p-n-p structures where the conducting properties of chiral carriers are studied. The band profile of the structures is calculated taking into account the specifics of the graphene density of states and is used to find the resistance of the p-n junctions expected for chiral carriers. We show that ballistic p-n junctions have larger resistance than diffusive ones. This is caused by suppressed transmission of chiral carriers at angles away from the normal to the junction.
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Citations
Cites
Chiral tunnelling and the Klein paradox in graphene
Katsnelson, M. I., Novoselov, K. S., & Geim, A. K. (2006) · Nature Physics · doi:10.1038/nphys384 · Cited by 3,896
Cited by
Quantum interference and Klein tunnelling in graphene heterojunctions
Young, A. F., & Kim, P. (2009) · Nature Physics · doi:10.1038/nphys1198 · Cited by 1,183
Evidence for Klein Tunneling in Graphene p − n Junctions
Stander, N., Huard, B., & Goldhaber-Gordon, D. (2009) · Physical Review Letters · doi:10.1103/physrevlett.102.026807 · Cited by 792
Metadata
- Authors
- Gorbachev, R. V., Mayorov, A. S., Savchenko, A. K., Horsell, D. W., & Guinea, F.
- Venue
- Nano Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2008-06-11
- Volume
- 8
- Issue
- 7
- Pages
- 1995-1999
- ISSN
- 1530-6984 (ISSN-L)
- 1530-6992
- OpenAlex
- W2070707388
- Cited by
- 174
- References
- 1
- FWCI
- 9.94
- Type
- journal article
- Language
- en
- Open access
- green
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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.
