Probing valley phenomena with gate-defined valley splitters

Despite many reports of valley-related phenomena in graphene and its multilayers, current transport experiments cannot probe valley phenomena without the application of external fields. Here we propose a gate-defined valley splitter as a direct transport probe for valley phenomenon in graphene multilayers. First, we show how the device works, its magnetotransport response, and its robustness against fabrication errors. Secondly, we present two applications for valley splitters: (i) resonant tunneling of quantum dots probed by a valley splitter shows the valley polarization of dot levels; (ii) a combination of two valley splitters resolves the nature of order parameters in mesoscopic samples.

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Publication Details

Journal
SciPost Physics
Published
2025-02-21
DOI
https://doi.org/10.21468/scipostphys.18.2.062
Citations
3
Primary Topic
Numerical methods in engineering
Type
article
Field-Weighted Citation Impact
2.59

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article

Probing valley phenomena with gate-defined valley splitters

Antonio L. R. Manesco, Kostas Vilkelis, Juan Daniel Torres Luna
3 citations
SciPost Physics
Numerical methods in engineering
2.59
article

Probing valley phenomena with gate-defined valley splitters

Antonio L. R. Manesco, Kostas Vilkelis, Juan Daniel Torres Luna
article en
3 citations

Abstract

Despite many reports of valley-related phenomena in graphene and its multilayers, current transport experiments cannot probe valley phenomena without the application of external fields. Here we propose a gate-defined valley splitter as a direct transport probe for valley phenomenon in graphene multilayers. First, we show how the device works, its magnetotransport response, and its robustness against fabrication errors. Secondly, we present two applications for valley splitters: (i) resonant tunneling of quantum dots probed by a valley splitter shows the valley polarization of dot levels; (ii) a combination of two valley splitters resolves the nature of order parameters in mesoscopic samples.

SciPost PhysicsVol. 18(2)
Delft University of Technology (NL)
Horizon 2020
Openalex Percentile: Top 13%
Numerical methods in engineering
2.59
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