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Cited by 354

The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.

Measurement of Fast Electron Spin Relaxation Times with Atomic Resolution

Open access
Loth, Sebastian, Etzkorn, Markus, Lutz, Christopher P., Eigler, D. M., Heinrich, Andreas J.·2010·Science

Abstract

In a Spin: The relaxation dynamics of electron spins in solid-state systems is of crucial importance for their usage in quantum computation and information storage. The interaction of the spin with its local environment results in lifetimes in the pico- to microsecond range. Thus, high temporal and spatial resolutions are needed to measure the relaxation time with atomic precision. Loth et al. (p. 1628 , see the cover; see the Perspective by Morgenstern ) used a scanning tunneling microscope with a spin-polarized tip to monitor the electron spin relaxation times of individual atoms adsorbed on a surface. A spin was excited by a pump signal, and its state read out after a variable time delay with a weak probe pulse that produced a spin-sensitive tunneling current. This general technique may be applicable to other systems with fast dynamics.

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Crossref · 10.1126/science.1191688

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Metadata

Authors
Loth, S., Etzkorn, M., Lutz, C. P., Eigler, D. M., & Heinrich, A. J.
Venue
Science
Published
2010-09-24
Volume
329
Issue
5999
Pages
1628-1630
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2037533749
Cited by
354
References
19
FWCI
12.75
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Measurement of Fast Electron Spin Relaxation Times with Atomic Resolution. https://app.cochat.ai/papers/10.1126/science.1191688
The paper
Loth, S., Etzkorn, M., Lutz, C. P., Eigler, D. M., & Heinrich, A. J. (2010). Measurement of Fast Electron Spin Relaxation Times with Atomic Resolution. Science. https://doi.org/10.1126/science.1191688

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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.