Numerical study of flame stability, stabilization and noise in a swirl-stabilized combustor under choked conditions. (Etude numerique de la stabilite, la stabilisation et le bruit de flamme dans un bruleur tourbillonnaire en conditions amorcees). - Corentin Lapeyre (2015)

Improving Surrogate Model Prediction by Noise Injection into Autoencoder Latent Space. - Michele Lazzara; Max Chevalier; Jasone Garay-Garcia; Corentin Lapeyre; Olivier Teste (ICTAI, 2022)

NeuralODE-Based Latent Trajectories into AutoEncoder Architecture for Surrogate Modelling of Parametrized High-Dimensional Dynamical Systems. - Michele Lazzara; Max Chevalier; Corentin Lapeyre; Olivier Teste (ICANN (6), 2023)

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)

Data-driven wall modeling for turbulent separated flows. - Dorian Dupuy; Nicolas Odier; Corentin Lapeyre (J. Comput. Phys., 2023)

Learning an optimised stable Taylor-Galerkin convection scheme based on a local spectral model for the numerical error dynamics. - Luciano Drozda; Pavanakumar Mohanamuraly; Lionel Cheng; Corentin Lapeyre; Guillaume Daviller; Yuval Realpe; Amir Adler; Gabriel Staffelbach; Thierry Poinsot (J. Comput. Phys., 2023)

Extending the machine-learned optimised stable Taylor-Galerkin scheme to solve the Burgers' equation. - Pavanakumar Mohanamuraly; Corentin Lapeyre; Guillaume Daviller; Amir Adler; Gabriel Staffelbach (J. Comput. Phys., 2025)