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Scanning Single-Electron Transistor Microscopy: Imaging Individual Charges

Yoo, M. J., Fulton, T. A., Hess, H. F., Willett, R. L., Dunkleberger, L. N., Chichester, R. J., Pfeiffer, L. N., West, K. W.·1997·Science

Abstract

A single-electron transistor scanning electrometer (SETSE)—a scanned probe microscope capable of mapping static electric fields and charges with 100-nanometer spatial resolution and a charge sensitivity of a small fraction of an electron—has been developed. The active sensing element of the SETSE, a single-electron transistor fabricated at the end of a sharp glass tip, is scanned in close proximity across the sample surface. Images of the surface electric fields of a GaAs/Al x Ga 1− x As heterostructure sample show individual photo-ionized charge sites and fluctuations in the dopant and surface-charge distribution on a length scale of 100 nanometers. The SETSE has been used to image and measure depleted regions, local capacitance, band bending, and contact potentials at submicrometer length scales on the surface of this semiconductor sample.

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Metadata

Authors
Yoo, M. J., Fulton, T. A., Hess, H. F., Willett, R. L., Dunkleberger, L. N., Chichester, R. J., Pfeiffer, L. N., & West, K. W.
Venue
Science
Published
1997-04-25
Volume
276
Issue
5312
Pages
579-582
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2019176261
Cited by
323
References
0
FWCI
17.55
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Scanning Single-Electron Transistor Microscopy: Imaging Individual Charges. https://app.cochat.ai/papers/10.1126/science.276.5312.579
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Yoo, M. J., Fulton, T. A., Hess, H. F., Willett, R. L., Dunkleberger, L. N., Chichester, R. J., Pfeiffer, L. N., & West, K. W. (1997). Scanning Single-Electron Transistor Microscopy: Imaging Individual Charges. Science. https://doi.org/10.1126/science.276.5312.579

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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.