41 citations · 66 across the 16 of their papers we have counts for
18 papers
Modelisation of chaotic systems with a latent Stochastic Differential Equation
Ismaël Zighed, Nicolas Thome, Patrick Gallinari +1
Stochastic Differential Equations (SDEs) have become a cornerstone of scientific machine learning, though they are predominantly utilized as algorithmic tools for uncertainty quant…
Data-driven modeling of hypersonic flows in chemical non-equilibrium with catalytic surfaces
Konstantinos Sarras, Louis Walpot, Thierry Magin +2
Hypersonic flows involve extreme thermochemical non-equilibrium, where strong energy dissipation leads to tightly coupled chemical reactions, radiation, and energy exchange. In thi…
HFNO: an interpretable data-driven decomposition strategy for turbulent flows
Marco Cayuela, Vincent Le Chenadec, Peter Schmid +1
Fourier Neural Operators (FNOs) have demonstrated exceptional accuracy in mapping functional spaces by leveraging Fourier transforms to establish a connection with underlying physi…
Leveraging Scale Separation and Stochastic Closure for Data-Driven Prediction of Chaotic Dynamics
Ismaël Zighed, Nicolas Thome, Patrick Gallinari +1
Simulating turbulent fluid flows is a computationally prohibitive task, as it requires the resolution of fine-scale structures and the capture of complex nonlinear interactions acr…
Adjoint-based optimization of the Rayleigh-Bénard instability with melting boundary
Tomas Fullana, Alejandro Quirós Rodríguez, Vincent Le Chenadec +1
In this work, we propose an adjoint-based optimization procedure to control the onset of the Rayleigh-Bénard instability with a melting front. A novel cut cell method is used to so…
UP-dROM : Uncertainty-Aware and Parametrised dynamic Reduced-Order Model, application to unsteady flows
Ismaël Zighed, Nicolas Thome, Patrick Gallinari +1
Reduced order models (ROMs) play a critical role in fluid mechanics by providing low-cost predictions, making them an attractive tool for engineering applications. However, for ROM…
Equation-informed data-driven identification of flow budgets and dynamics
Nataliya Sevryugina, Serena Costanzo, Stephen de Bruyn Kops +3
Computational Fluid Dynamics (CFD) is an indispensable method of fluid modelling in engineering applications, reducing the need for physical prototypes and testing for tasks such a…
Mori-Zwanzig latent space Koopman closure for nonlinear autoencoder
Priyam Gupta, Peter J. Schmid, Denis Sipp +2
The Koopman operator presents an attractive approach to achieve global linearization of nonlinear systems, making it a valuable method for simplifying the understanding of complex…
Gradient-enhanced stochastic optimization of high-fidelity simulations
A. Quirós Rodríguez, M. Fosas de Pando, T. Sayadi
Optimization and control of complex unsteady flows remains an important challenge due to the large cost of performing a function evaluation, i.e. a full computational fluid dynamic…
A Conservative Cartesian Cut Cell Method for the Solution of the Incompressible Navier-Stokes Equations on Staggered Meshes
Alejandro Quirós Rodríguez, Tomas Fullana, Vincent Le Chenadec +1
The treatment of complex geometries in Computational Fluid Dynamics applications is a challenging endeavor, which immersed boundary and cut-cell techniques can significantly simpli…
Development of a high-fidelity computational tool for chemically reacting hypersonic flow simulations
Athanasios T. Margaritis, Clément Scherding, Olaf Marxen +2
In this paper, we present a methodology to achieve high-fidelity simulations of chemically reacting hypersonic flows and demonstrate our numerical solver's capabilities on a select…
Data-driven framework for input/output lookup tables reduction: Application to hypersonic flows in chemical non-equilibrium
Clément Scherding, Georgios Rigas, Denis Sipp +2
In this paper, we present a novel model-agnostic machine learning technique to extract a reduced thermochemical model for reacting hypersonic flows simulation. A first simulation g…
A Comprehensive Study of Adjoint-Based Optimization of Non-Linear Systems with Application to Burgers' Equation
Alexandru Fikl, Vincent Le Chenadec, Taraneh Sayadi +1
In the context of adjoint-based optimization, nonlinear conservation laws pose significant problems regarding the existence and uniqueness of both direct and adjoint solutions, as…
Adjoint-based optimization of two-dimensional Stefan problems
Tomas Fullana, Vincent Le Chenadec, Taraneh Sayadi
A range of optimization cases of two-dimensional Stefan problems, solved using a tracking-type cost-functional, is presented. A level set method is used to capture the interface be…
Symmetry-Aware Autoencoders: s-PCA and s-nlPCA
Simon Kneer, Taraneh Sayadi, Denis Sipp +2
Nonlinear principal component analysis (NLPCA) via autoencoders has attracted attention in the dynamical systems community due to its larger compression rate when compared to linea…
Adjoint-Based Sensitivity Analysis of Steady Char Burnout
Ahmed Hassan, Taraneh Sayadi, Vincent LeChenadec +2
Simulations of pulverised coal combustion rely on various models, required in order to correctly approximate the flow, chemical reactions, and behavior of solid particles. These mo…
Thermoacoustic instability - a dynamical system and time domain analysis
Taraneh Sayadi, Vincent Le Chenadec, Peter Schmid +2
This study focuses on the Rijke tube problem, which includes features relevant to the modeling of thermoacoustic coupling in reactive flows: a compact acoustic source, an empirical…
Fundamental and subharmonic transition to turbulence in zero-pressure-gradient flat-plate boundary layers
Taraneh Sayadi, Curtis W. Hamman, Parviz Moin
In this fluid dynamics video, recent simulations of transition to turbulence in compressible (M = 0.2), zero-pressure-gradient flat-plate boundary layers triggered by fundamental (…