Denis Sipp

affiliation not provided to SSRN

No Address Available

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

3

DOWNLOADS

206

TOTAL CITATIONS

0

Scholarly Papers (3)

Actions:
Email selected abstracts
1.

An Adaptive Learning Strategy for Surrogate Modeling of High-Dimensional Functions - Application to Unsteady Hypersonic Flows in Chemical Nonequilibrium

Number of pages: 40 Posted: 01 Feb 2024
Clément Scherding, Georgios Rigas, Denis Sipp, Taraneh Sayadi and Peter Schmid
affiliation not provided to SSRN, Imperial College London, affiliation not provided to SSRN, Sorbonne University and affiliation not provided to SSRN
Downloads 115 (504,238)

Abstract:

Loading...

Reduced Order ModelsMachine LearningAdaptive LearningHypersonics

2.

Hybrid Autoencoder/Galerkin Approach for Nonlinear Reduced Order Modelling

Number of pages: 56 Posted: 28 Oct 2024
Nicolas Lepage, Samir Beneddine, Camilla Fiorini, Iraj Mortazavi, Denis Sipp and Nicolas Thome
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and Sorbonne University
Downloads 69 (694,005)

Abstract:

Loading...

Autoencoder, Reduced order model, Neural ODE, Computational Fluid Dynamics, Deep Learning

3.

Efficient and Accurate Data-Driven Wall Modelling Strategy for Reynolds Averaged Navier–Stokes Simulations

Number of pages: 43 Posted: 03 Sep 2024
Michele Romanelli, Samir Beneddine, Ivan Mary, Héloïse Beaugendre, Michel Bergmann and Denis Sipp
affiliation not provided to SSRN, affiliation not provided to SSRN, University of Paris-Saclay - ONERA, University of Bordeaux - Institut de Mathematiques de Bordeaux, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 22 (1,081,033)

Abstract:

Loading...

computational fluid dynamics, Reynolds-averaged Navier-Stokes equations, Wall model, Deep Learning, Neural network