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Cited by 486

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

Observing the Quantization of Zero Mass Carriers in Graphene

Miller, David L., Kubista, Kevin D., Rutter, Gregory M., Ruan, Ming, de Heer, Walt A., First, Phillip N., Stroscio, Joseph A.·2009·Science

Abstract

Resolving Landau Levels in Graphene: The charge carriers in a two-dimensional conductor, when placed in a magnetic field, can develop an additional set of quantized energy levels. These Landau levels correspond to the carriers now moving in cyclotron orbits. In graphene, which consists of single-atom-thick sheets of graphite, an unusual set of Landau levels with nonequal energy spacing can develop in graphene layers that have undergone symmetry breaking caused by rotation between adjacent layers. Miller et al. (p. 924 ) used scanning tunneling microscopy at cryogenic temperatures to map out Landau levels in graphene grown on silicon carbide with high energy and momentum resolution, including the characteristic level in graphene that can occur at zero energy.

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Crossref · 10.1126/science.1171810

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Metadata

Authors
Miller, D. L., Kubista, K. D., Rutter, G. M., Ruan, M., de Heer, W. A., First, P. N., & Stroscio, J. A.
Venue
Science
Published
2009-05-15
Volume
324
Issue
5929
Pages
924-927
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2170484048
Cited by
486
References
30
FWCI
27.60
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Observing the Quantization of Zero Mass Carriers in Graphene. https://app.cochat.ai/papers/10.1126/science.1171810
The paper
Miller, D. L., Kubista, K. D., Rutter, G. M., Ruan, M., de Heer, W. A., First, P. N., & Stroscio, J. A. (2009). Observing the Quantization of Zero Mass Carriers in Graphene. Science. https://doi.org/10.1126/science.1171810

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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.