Search Results for author: Sylvain Laizet

Found 6 papers, 4 papers with code

Unsupervised Random Quantum Networks for PDEs

no code implementations21 Dec 2023 Josh Dees, Antoine Jacquier, Sylvain Laizet

On the theoretical side, we develop a complexity analysis of this approach, and show numerically that random quantum networks can outperform more traditional quantum networks as well as random classical networks.

FR3D: Three-dimensional Flow Reconstruction and Force Estimation for Unsteady Flows Around Extruded Bluff Bodies via Conformal Mapping Aided Convolutional Autoencoders

no code implementations3 Feb 2023 Ali Girayhan Özbay, Sylvain Laizet

In many practical fluid dynamics experiments, measuring variables such as velocity and pressure is possible only at a limited number of sensor locations, \textcolor{black}{for a few two-dimensional planes, or for a small 3D domain in the flow}.

Investigating Bayesian optimization for expensive-to-evaluate black box functions: Application in fluid dynamics

1 code implementation19 Jul 2022 Mike Diessner, Joseph O'Connor, Andrew Wynn, Sylvain Laizet, Yu Guan, Kevin Wilson, Richard D. Whalley

To illustrate how these findings can be used to inform a Bayesian optimization setup tailored to a specific problem, two simulations in the area of computational fluid dynamics are optimized, giving evidence that suitable solutions can be found in a small number of evaluations of the objective function for complex, real problems.

Deep learning fluid flow reconstruction around arbitrary two-dimensional objects from sparse sensors using conformal mappings

1 code implementation8 Feb 2022 Ali Girayhan Özbay, Sylvain Laizet

Different NNs for different sensor setups (where information about the flow is collected) are trained with high-fidelity simulation data for a Reynolds number equal to approximately $300$ for 64 objects randomly generated using Bezier curves.

Poisson CNN: Convolutional neural networks for the solution of the Poisson equation on a Cartesian mesh

1 code implementation18 Oct 2019 Ali Girayhan Özbay, Arash Hamzehloo, Sylvain Laizet, Panagiotis Tzirakis, Georgios Rizos, Björn Schuller

The Poisson equation is commonly encountered in engineering, for instance in computational fluid dynamics (CFD) where it is needed to compute corrections to the pressure field to ensure the incompressibility of the velocity field.

Flows Over Periodic Hills of Parameterized Geometries: A Dataset for Data-Driven Turbulence Modeling From Direct Simulations

1 code implementation3 Oct 2019 Heng Xiao, Jin-Long Wu, Sylvain Laizet, Lian Duan

However, a major obstacle in the development of data-driven turbulence models is the lack of training data.

Fluid Dynamics

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