output
20032026
most citedOne MAX phase, different MXenes: a guideline to understand the crucial role of etching conditions on TiCT surface chemistry

378 citations

Showing 2022Show all

6 papers · 1 filter

physics.flu-dyn20228 cited

Optimized parametric inference for the inner loop of the Multigrid Ensemble Kalman Filter

Gabriel Moldovan, Guillaume Lehnasch, Laurent Cordier +1

Essential features of the Multigrid Ensemble Kalman Filter (G. Moldovan, G. Lehnasch, L. Cordier, M. Meldi, A multigrid/ensemble Kalman filter strategy for assimilation of unsteady…

cs.LG2022

ScoreCAM GNN: une explication optimale des réseaux profonds sur graphes

Adrien Raison, Pascal Bourdon, David Helbert

The explainability of deep networks is becoming a central issue in the deep learning community. It is the same for learning on graphs, a data structure present in many real world p…

cs.HC20228 cited

Uplifting Interviews in Social Science with Individual Data Visualization: the case of Music Listening

Robin Cura, Amélie Beaumont, Jean-Samuel Beuscart +6

Collecting accurate and fine-grain information about the music people like, dislike and actually listen to has long been a challenge for sociologists. As millions of people now use…

eess.IV20224 cited

Multi-Channel Convolutional Analysis Operator Learning for Dual-Energy CT Reconstruction

Alessandro Perelli, Suxer Alfonso Garcia, Alexandre Bousse +3

Objective. Dual-energy computed tomography (DECT) has the potential to improve contrast, reduce artifacts and the ability to perform material decomposition in advanced imaging appl…

cond-mat.mtrl-sci202214 cited

Nanoindentation-induced deformation twinning in MAX phase TiAlN

Christophe Tromas, Salomé Parent, Wilgens Sylvain +6

Plastic deformation mechanisms have been investigated in the MAX phase Ti2AlN. Nanoindentation has been used to induce plastic deformation in a single grain, and a Transmission Ele…

physics.flu-dyn202232 cited

Resolvent-based tools for optimal estimation and control via the Wiener-Hopf formalism

Eduardo Martini, Junoh Jung, André V. G. Cavalieri +2

The application of control tools to complex flows frequently requires approximations, such as reduced-order models and/or simplified forcing assumptions, where these may be conside…