Versatile sequential sampling algorithm using Kernel Density Estimation. - Pamphile T. Roy; Lluís Jofre; Jean-Christophe Jouhaud; Bénédicte Cuenot (Eur. J. Oper. Res., 2020)

Performance and accuracy assessments of an incompressible fluid solver coupled with a deep Convolutional Neural Network. - Ekhi Ajuria Illarramendi; Michael Bauerheim; Bénédicte Cuenot (CoRR, 2021)

Using neural networks to solve the 2D Poisson equation for electric field computation in plasma fluid simulations. - Lionel Cheng; Ekhi Ajuria Illarramendi; Guillaume Bogopolsky; Michael Bauerheim; Bénédicte Cuenot (CoRR, 2021)

Prediction of Wall Heat Fluxes in a Rocket Engine with Conjugate Heat Transfer Based on Large-Eddy Simulation. - Luc Potier; Florent Duchaine; Bénédicte Cuenot; Didier Saucereau; Julien Pichillou (Entropy, 2022)

Analysis and design of a local time stepping scheme for LES acceleration in reactive and non-reactive flow simulations. - Sreejith N. A.; Eleonore Riber; Bénédicte Cuenot (J. Comput. Phys., 2022)

Performance Study of Convolutional Neural Network Architectures for 3D Incompressible Flow Simulations. - Ekhi Ajuria Illarramendi; Michael Bauerheim; Neil Ashton; Corentin Lapeyre; Bénédicte Cuenot (PASC, 2023)

Solving Sparse Linear Systems on Large Unstructured Grids with Graph Neural Networks: Application to Solve the Poisson's Equation in Hall-Effect Thrusters Simulations. - Gabriel Vigot; Bénédicte Cuenot; Olivier Vermorel (ICCS (3), 2024)