activity
19952024
most citedSurface plasmon in metallic nanoparticles: renormalization effects due to electron-hole excitations

86 citations · 1.3k across the 64 of their papers we have counts for

collaborators

64 papers

cond-mat.mes-hall2024★ 3 cited

Going beyond Landauer scattering theory to describe spatially-resolved non-local heating and cooling in quantum thermoelectrics

Nico G. Leumer, Denis M. Basko, Rodolfo A. Jalabert +2

Spatially-resolved heating and cooling in nanostructures is nowadays measured with various nanoscale thermometry techniques, including scanning thermometry. Yet the most commonly u…

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.mes-hall2022★ 4 cited

Scanning gate microscopy in graphene nanostructures

Xianzhang Chen, Guillaume Weick, Dietmar Weinmann +1

The conductance of graphene nanoribbons and nanoconstrictions under the effect of a scanning gate microscopy tip is systematically studied. Using a scattering approach for noninvas…

cond-mat.mes-hall2021★ 5 cited

Asymmetric power dissipation in electronic transport through a quantum point contact

Carmen Blaas-Anselmi, Félix Helluin, Rodolfo A. Jalabert +2

We investigate the power dissipated by an electronic current flowing through a quantum point contact in a two-dimensional electron gas. Based on the Landauer-Büttiker approach to q…

cond-mat.mes-hall2021

Spontaneous orbital magnetization of mesoscopic dipole dimers

Gaëtan J. Percebois, Dietmar Weinmann, Rodolfo A. Jalabert +1

Ensembles of gold nanoparticles present a magnetic behavior which is at odds with the weakly diamagnetic response of bulk gold. In particular, an unusual ferromagnetic order has be…

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…