The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Controllable p-n Junction Formation in Monolayer Graphene Using Electrostatic Substrate Engineering
Abstract
We investigate electric transport in graphene on SiO2 in the high field limit and report on the formation of p-n junctions. Previously, doping of graphene has been achieved by using multiple electrostatic gates, or charge transfer from adsorbants. Here we demonstrate a novel approach to create p-n junctions by changing the local electrostatic potential in the vicinity of one of the contacts without the use of extra gates. The approach is based on the electronic modification not of the graphene but of the substrate and produces a well-behaved, sharp junction whose position and height can be controlled.
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Citations
Cites
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
Cited by
Atomically thin p–n junctions based on two-dimensional materials
Frisenda, R., Molina-Mendoza, A. J., Mueller, T., Castellanos-Gomez, A., & van der Zant, H. S. J. (2018) · Chemical Society Reviews · doi:10.1039/c7cs00880e · Cited by 312
Self-powered graphene thermistor
Bendi, R., Bhavanasi, V., Parida, K., Nguyen, V. C., Sumboja, A., Tsukagoshi, K., & Lee, P. S. (2016) · Nano Energy · doi:10.1016/j.nanoen.2016.06.014 · Cited by 30
Metadata
- Authors
- Chiu, H.-Y., Perebeinos, V., Lin, Y.-M., & Avouris, P.
- Venue
- Nano Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2010-10-01
- Volume
- 10
- Issue
- 11
- Pages
- 4634-4639
- ISSN
- 1530-6984 (ISSN-L)
- 1530-6992
- OpenAlex
- W2149953478
- Cited by
- 158
- References
- 2
- FWCI
- 7.88
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
