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Denis Sipp
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2020 – today
- 2025
- [j7]Clément Scherding, Georgios Rigas, Denis Sipp, Peter J. Schmid, Taraneh Sayadi:
An adaptive learning strategy for surrogate modeling of high-dimensional functions - Application to unsteady hypersonic flows in chemical nonequilibrium. Comput. Phys. Commun. 307: 109404 (2025) - 2024
- [j6]Souvik Ghosh, Vincent Mons, Denis Sipp, Peter J. Schmid:
A robust computational framework for variational data assimilation of mean flows with sparse measurements corrupted by strong outliers. J. Comput. Phys. 508: 113008 (2024) - 2023
- [j5]Arthur Poulain, Cédric Content, Denis Sipp, Georgios Rigas, Eric Garnier:
BROADCAST: A high-order compressible CFD toolbox for stability and sensitivity using Algorithmic Differentiation. Comput. Phys. Commun. 283: 108557 (2023) - [i6]Priyam Gupta, Peter J. Schmid, Denis Sipp, Taraneh Sayadi, Georgios Rigas:
Mori-Zwanzig latent space Koopman closure for nonlinear autoencoder. CoRR abs/2310.10745 (2023) - [i5]Clément Scherding, Georgios Rigas, Denis Sipp, Peter J. Schmid, Taraneh Sayadi:
RONAALP: Reduced-Order Nonlinear Approximation with Active Learning Procedure. CoRR abs/2311.10550 (2023) - 2022
- [j4]Charles Poussot-Vassal, Pauline Kergus, Franck Kerhervé, Denis Sipp, Laurent Cordier:
Interpolatory-Based Data-Driven Pulsed Fluidic Actuator Control Design and Experimental Validation. IEEE Trans. Control. Syst. Technol. 30(2): 852-859 (2022) - [i4]Clément Scherding, Georgios Rigas, Denis Sipp, Peter J. Schmid, Taraneh Sayadi:
Data-driven framework for input/output lookup tables reduction - with application to hypersonic flows in chemical non-equilibrium. CoRR abs/2210.04269 (2022) - 2021
- [c2]Thomas Arnoult, Cecile Ghouila-Houri, Colin Leclercq, Aurélien Mazzamurro, Romain Viard, Eric Garnier, Denis Sipp, Alain Merlen, Abdelkrim Talbi, Philippe Pernod:
Cavity flow controlled with an array of magneto-mechanical micro-valves. IEEE SENSORS 2021: 1-4 - [i3]Simon Kneer, Taraneh Sayadi, Denis Sipp, Peter J. Schmid, Georgios Rigas:
Symmetry-Aware Autoencoders: s-PCA and s-nlPCA. CoRR abs/2111.02893 (2021) - 2020
- [i2]Denis Sipp, Miguel Fosas de Pando, Peter J. Schmid:
Nonlinear model reduction: a comparison between POD-Galerkin and POD-DEIM methods. CoRR abs/2005.03173 (2020) - [i1]Charles Poussot-Vassal, Pauline Kergus, Franck Kerhervé, Denis Sipp, Laurent Cordier:
Interpolatory-based data-driven pulsed fluidic actuator control design and experimental validation. CoRR abs/2012.01061 (2020)
2010 – 2019
- 2018
- [c1]Charles Poussot-Vassal, Colin Leclercq, Denis Sipp:
Structured linear fractional parametric controller H∞ design and its applications. ECC 2018: 2629-2634 - 2016
- [j3]Miguel Fosas de Pando, Peter J. Schmid, Denis Sipp:
Nonlinear model-order reduction for compressible flow solvers using the Discrete Empirical Interpolation Method. J. Comput. Phys. 324: 194-209 (2016) - 2014
- [j2]Clément Mettot, Florent Renac, Denis Sipp:
Computation of eigenvalue sensitivity to base flow modifications in a discrete framework: Application to open-loop control. J. Comput. Phys. 269: 234-258 (2014) - 2012
- [j1]Miguel Fosas de Pando, Denis Sipp, Peter J. Schmid:
Efficient evaluation of the direct and adjoint linearized dynamics from compressible flow solvers. J. Comput. Phys. 231(23): 7739-7755 (2012)
Coauthor Index
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