High-order compact schemes for incompressible flows: A simple and efficient method with quasi-spectral accuracy. - Sylvain Laizet; Eric Lamballais (J. Comput. Phys., 2009)

Straightforward high-order numerical dissipation via the viscous term for direct and large eddy simulation. - Eric Lamballais; Véronique Fortuné; Sylvain Laizet (J. Comput. Phys., 2011)

Two- and three-dimensional Direct Numerical Simulation of particle-laden gravity currents. - L. F. R. Espath; L. C. Pinto; Sylvain Laizet; Jorge Hugo Silvestrini (Comput. Geosci., 2014)

Numerical dissipation vs. subgrid-scale modelling for large eddy simulation. - Thibault Dairay; Eric Lamballais; Sylvain Laizet; John Christos Vassilicos (J. Comput. Phys., 2017)

Reynolds number and settling velocity influence for finite-release particle-laden gravity currents in a basin. - E. P. Francisco; L. F. R. Espath; Sylvain Laizet; Jorge Hugo Silvestrini (Comput. Geosci., 2018)

Poisson CNN: Convolutional Neural Networks for the Solution of the Poisson Equation with Varying Meshes and Dirichlet Boundary Conditions. - Ali Girayhan Özbay; Sylvain Laizet; Panagiotis Tzirakis; Georgios Rizos; Björn W. Schuller (CoRR, 2019)

A new highly scalable, high-order accurate framework for variable-density flows: Application to non-Boussinesq gravity currents. - Paul Bartholomew; Sylvain Laizet (Comput. Phys. Commun., 2019)

Xcompact3D: An open-source framework for solving turbulence problems on a Cartesian mesh. - Paul Bartholomew; Georgios Deskos; Ricardo A. S. Frantz; Felipe N. Schuch; Eric Lamballais; Sylvain Laizet (SoftwareX, 2020)

Deep learning fluid flow reconstruction around arbitrary two-dimensional objects from sparse sensors using conformal mappings. - Ali Girayhan Özbay; Sylvain Laizet (CoRR, 2022)

Scalable Many-Core Algorithms for Tridiagonal Solvers. - Gábor Dániel Balogh; Tobias S. Flynn; Sylvain Laizet; Gihan R. Mudalige; István Z. Reguly (Comput. Sci. Eng., 2022)

Investigating Bayesian optimization for expensive-to-evaluate black box functions: Application in fluid dynamics. - Mike Diessner; Joseph O'Connor; Andrew Wynn; Sylvain Laizet; Yu Guan; Kevin J. Wilson; Richard D. Whalley (Frontiers Appl. Math. Stat., 2022)

FR3D: Three-dimensional Flow Reconstruction and Force Estimation for Unsteady Flows Around Arbitrary Bluff Bodies via Conformal Mapping Aided Convolutional Autoencoders. - Ali Girayhan Özbay; Sylvain Laizet (CoRR, 2023)

The 2DECOMP&FFT library: an update with new CPU/GPU capabilities. - Stefano Rolfo; Cédric Flageul; Paul Bartholomew; Filippo Spiga; Sylvain Laizet (J. Open Source Softw., 2023)

Unsupervised random quantum networks for PDEs. - Josh Dees; Antoine Jacquier; Sylvain Laizet (Quantum Inf. Process., 2024)

A distributed-memory tridiagonal solver based on a specialised data structure optimised for CPU and GPU architectures. - Semih Akkurt; Sébastien Lemaire; Paul Bartholomew; Sylvain Laizet (Comput. Phys. Commun., 2025)

A high-order finite-difference solver for direct numerical simulations of magnetohydrodynamic turbulence. - Jian Fang 002; Sylvain Laizet; Alex Skillen (Comput. Phys. Commun., 2025)

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control. - Andrew Mole; Max Weissenbacher; Georgios Rigas; Sylvain Laizet (CoRR, 2025)