Table · dataset · 2017
Data for Weak localization and weak antilocalization in doped germanium epilayers
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Description
The magnetoresistance of 50 nm thick epilayers of doped germanium is measured at a range of temperatures down to 1.6 K. Both n- and p-type devices show quantum corrections to the conductivity in an applied magnetic field, with n-type devices displaying weak localization and p-type devices showing weak antilocalization. From fits to these data using the Hikami-Larkin-Nagaoka model, the phase coherence length of each device is extracted, as well as the spin diffusion length of the p-type device.
We obtain phase coherence lengths as large as 325 nm in the highly doped n-type device, presenting possible applications in quantum technologies. The decay of the phase coherence length with temperature is found to obey the same power law of lϕ ∝ Tc, where c = −0.68 ± 0.03, for each device, in spite of the clear differences in the nature of the conduction. In the p-type device, the measured spin diffusion length does not change over the range of temperatures for which weak antilocalization can be observed.
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The presence of a spin-orbit interaction manifested as weak antilocalization in the p-type epilayer suggests that these structures could be developed for use in spintronic devices such as the spin-FET, where significant spin lifetimes would be important for efficient device operation.<br><br>Data record consists of 26 raw data files in plain text format and a metadata text file. This dataset contains raw txt files used to produce the figures in the article.
These files therefore include measurements of three samples of doped germanium epilayers (two of which are n-type and one p-type) made at a range of temperatures. The samples were grown at the University of Warwick, processed at the University of Cambridge and measured in collaboration with Toshiba Research Europe Ltd.
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Where it is published
- DOI doi.org/10.82444/warw.33802633.v1 ↗
DOI / persistent id · from figshare com
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from figshare com
Topics
- From keywords
- Astronomy & Astrophysics · Chemistry · Computer Science & AI · Earth & Environmental Science · Economics & Finance · Engineering · Humanities · Life Sciences · Materials Science · Medicine & Health · Ocean & Atmospheric Science · Social Science
- Inferred from text
- Materials engineering 73% · Text 75%
Provenance · 1 source records, 19 field assertions
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|---|---|---|---|
| figshare | oai:figshare.com:article/33802633 | 11 d ago | JSON v1 |
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| title | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/title |