activity
20182022
most citedUsing neural networks to solve the 2D Poisson equation for electric field computation in plasma fluid simulations

6 citations · 10 across the 5 of their papers we have counts for

collaborators

6 papers

physics.plasm-ph2022★ 3 cited

AVIP: a low temperature plasma code

Lionel Cheng, Nicolas Barleon, Olivier Vermorel +2

A new unstructured, massively parallel code dedicated to low temperature plasmas, AVIP, is presented to simulate plasma discharges in interaction with combustion. The plasma specie…

physics.comp-ph2021

Extension of the Spectral Difference method to combustion

Thomas Marchal, Hugues Deniau, Jean-François Boussuge +2

A Spectral Difference (SD) algorithm on tensor-product elements which solves the reacting compressible Navier-Stokes equations (NSE) is presented. The classical SD algorithm is sho…

physics.flu-dyn2021★ 1 cited

Performance and accuracy assessments of an incompressible fluid solver coupled with a deep Convolutional Neural Network

Ekhi Ajuria Illarramendi, Michaël Bauerheim, Bénédicte Cuenot

The resolution of the Poisson equation is usually one of the most computationally intensive steps for incompressible fluid solvers. Lately, Deep Learning, and especially Convolutio…

cs.LG2021★ 6 cited

Using neural networks to solve the 2D Poisson equation for electric field computation in plasma fluid simulations

Lionel Cheng, Ekhi Ajuria Illarramendi, Guillaume Bogopolsky +2

The Poisson equation is critical to get a self-consistent solution in plasma fluid simulations used for Hall effect thrusters and streamer discharges, since the Poisson solution ap…

physics.flu-dyn2020

A statistical model to predict ignition probability

Lucas Esclapez, Félix Collin-Bastiani, Eleonore Riber +1

Ignition capability is a critical design constraint for aeronautical gas turbines. However the current trend toward overall lean burn is detrimental to the engine ignition and reli…

stat.ME2018

Sounding Spider: An Efficient Way for Representing Uncertainties in High Dimensions

Pamphile T. Roy, Sophie Ricci, Bénédicte Cuenot +1

This article proposes a visualization method for multidimensional data based on: (i) Animated functional Hypothetical Outcome Plots (f-HOPs); (ii) 3-dimensional Kiviat plot; and (i…