◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Gaëtan J. Percebois

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cond-mat.dis-nn1
  • cond-mat.mes-hall1

identity via Semantic Scholar / OpenAlex

most citedDeep neural networks for inverse problems in mesoscopic physics: Characterization of the disorder configuration from quantum transport properties

14 citations · 20 across the 2 of their papers we have counts for

collaborators

2 papers

cond-mat.mes-hall2023★ 6 cited

Reconstructing the potential configuration in a high-mobility semiconductor heterostructure with scanning gate microscopy

Gaëtan J. Percebois, Antonio Lacerda-Santos, Boris Brun +3

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…

cond-mat.dis-nn2021★ 14 cited

Deep neural networks for inverse problems in mesoscopic physics: Characterization of the disorder configuration from quantum transport properties

Gaëtan J. Percebois, Dietmar Weinmann

We present a machine learning approach that allows to characterize the disorder potential of a two-dimensional electronic system from its quantum transport properties. Numerically…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.