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B. Cuenot

3 papers here

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

author position
  • middle author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • physics.flu-dyn2
  • stat.ME1

identity via Semantic Scholar / OpenAlex

activity
20182021
most citedPerformance and accuracy assessments of an incompressible fluid solver coupled with a deep Convolutional Neural Network

1 citations · 1 across the 1 of their papers we have counts for

collaborators

3 papers

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…

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…

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