arXiv · 2308.13372
Reconstructing the potential configuration in a high-mobility semiconductor heterostructure with scanning gate microscopy
Abstract
The weak disorder potential seen by the electrons of a two-dimensional electron gas in high-mobility semiconductor heterostructures leads to fluctuations in the physical properties and can be an issue for nanodevices. In this paper, we show that a scanning gate microscopy (SGM) image contains information about the disorder potential, and that a machine learning approach based on SGM data can be used to determine the disorder. We reconstruct the electric potential of a sample from its experimental SGM data and validate the result through an estimate of its accuracy.
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Gaëtan J. Percebois, Antonio Lacerda-Santos, Boris Brun, Benoit Hackens, Xavier Waintal, Dietmar Weinmann. 2023-08-25. Reconstructing the potential configuration in a high-mobility semiconductor heterostructure with scanning gate microscopy. https://doi.org/10.21468/scipostphys.15.6.242
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