TY  - JOUR
PB  - SciPost Foundation
DO  - 10.21468/SciPostPhys.15.6.242
TI  - Reconstructing the potential configuration in a high-mobility semiconductor heterostructure with scanning gate microscopy
PY  - 2023/12/15
UR  - https://www.scipost.org/SciPostPhys.15.6.242
JF  - SciPost Physics
JA  - SciPost Phys.
VL  - 15
IS  - 6
SP  - 242
A1  - Percebois, Gaëtan J.
AU  - Lacerda-Santos, Antonio
AU  - Brun, Boris
AU  - Hackens, Benoit
AU  - Waintal, Xavier
AU  - Weinmann, Dietmar
AB  - 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.
ER  -

@Article{10.21468/SciPostPhys.15.6.242,
	title={{Reconstructing the potential configuration in a high-mobility semiconductor heterostructure with scanning gate microscopy}},
	author={Gaëtan J. Percebois and Antonio Lacerda-Santos and Boris Brun and Benoit Hackens and Xavier Waintal and Dietmar Weinmann},
	journal={SciPost Phys.},
	volume={15},
	pages={242},
	year={2023},
	publisher={SciPost},
	doi={10.21468/SciPostPhys.15.6.242},
	url={https://scipost.org/10.21468/SciPostPhys.15.6.242},
}