Sylvain Laizet

19 papers Journal 19
YearRankTypeTitle / Venue / Authors
2025 J jnl
A distributed-memory tridiagonal solver based on a specialised data structure optimised for CPU and GPU architectures.
Comput. Phys. Commun.
Semih Akkurt, Sébastien Lemaire, Paul Bartholomew, Sylvain Laizet
2025 J jnl
A high-order finite-difference solver for direct numerical simulations of magnetohydrodynamic turbulence.
Comput. Phys. Commun.
Jian Fang, Sylvain Laizet, Alex Skillen
2025 J jnl
Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control.
CoRR
Andrew Mole, Max Weissenbacher, Georgios Rigas, Sylvain Laizet
2024 J jnl
A Distributed-memory Tridiagonal Solver Based on a Specialised Data Structure Optimised for CPU and GPU Architectures.
CoRR
Semih Akkurt, Sébastien Lemaire, Paul Bartholomew, Sylvain Laizet
2024 J jnl
Unsupervised random quantum networks for PDEs.
Quantum Inf. Process.
Josh Dees, Antoine Jacquier, Sylvain Laizet
2023 J jnl
FR3D: Three-dimensional Flow Reconstruction and Force Estimation for Unsteady Flows Around Arbitrary Bluff Bodies via Conformal Mapping Aided Convolutional Autoencoders.
CoRR
Ali Girayhan Özbay, Sylvain Laizet
2023 J jnl
The 2DECOMP&FFT library: an update with new CPU/GPU capabilities.
J. Open Source Softw.
Stefano Rolfo, Cédric Flageul, Paul Bartholomew, Filippo Spiga, Sylvain Laizet
2023 J jnl
Unsupervised Random Quantum Networks for PDEs.
CoRR
Josh Dees, Antoine Jacquier, Sylvain Laizet
2022 J jnl
Deep learning fluid flow reconstruction around arbitrary two-dimensional objects from sparse sensors using conformal mappings.
CoRR
Ali Girayhan Özbay, Sylvain Laizet
2022 J jnl
Investigating Bayesian optimization for expensive-to-evaluate black box functions: Application in fluid dynamics.
Frontiers Appl. Math. Stat.
Mike Diessner, Joseph O'Connor, Andrew Wynn, Sylvain Laizet, Yu Guan, Kevin J. Wilson, Richard D. Whalley
2022 J jnl
Scalable Many-Core Algorithms for Tridiagonal Solvers.
Comput. Sci. Eng.
Gábor Dániel Balogh, Tobias S. Flynn, Sylvain Laizet, Gihan R. Mudalige, István Z. Reguly
2020 J jnl
Xcompact3D: An open-source framework for solving turbulence problems on a Cartesian mesh.
SoftwareX
Paul Bartholomew, Georgios Deskos, Ricardo A. S. Frantz, Felipe N. Schuch, Eric Lamballais, Sylvain Laizet
2019 J jnl
A new highly scalable, high-order accurate framework for variable-density flows: Application to non-Boussinesq gravity currents.
Comput. Phys. Commun.
Paul Bartholomew, Sylvain Laizet
2019 J jnl
Poisson CNN: Convolutional Neural Networks for the Solution of the Poisson Equation with Varying Meshes and Dirichlet Boundary Conditions.
CoRR
Ali Girayhan Özbay, Sylvain Laizet, Panagiotis Tzirakis, Georgios Rizos, Björn W. Schuller
2018 J jnl
Reynolds number and settling velocity influence for finite-release particle-laden gravity currents in a basin.
Comput. Geosci.
E. P. Francisco, L. F. R. Espath, Sylvain Laizet, Jorge Hugo Silvestrini
2017 J jnl
Numerical dissipation vs. subgrid-scale modelling for large eddy simulation.
J. Comput. Phys.
Thibault Dairay, Eric Lamballais, Sylvain Laizet, John Christos Vassilicos
2014 J jnl
Two- and three-dimensional Direct Numerical Simulation of particle-laden gravity currents.
Comput. Geosci.
L. F. R. Espath, L. C. Pinto, Sylvain Laizet, Jorge Hugo Silvestrini
2011 J jnl
Straightforward high-order numerical dissipation via the viscous term for direct and large eddy simulation.
J. Comput. Phys.
Eric Lamballais, Véronique Fortuné, Sylvain Laizet
2009 J jnl
High-order compact schemes for incompressible flows: A simple and efficient method with quasi-spectral accuracy.
J. Comput. Phys.
Sylvain Laizet, Eric Lamballais