What’s New & Updated

Posts about papers, events, news, and more

Gauss-Seidel is faster than Jacobi. Or is it?

blog
In a previous post, I went through some details about how one could write an efficient Jacobi solver in modern Fortran to solve the 2D Poisson equation. Several colleagues…
Sep 8, 2026
Jean-Christophe Loiseau

The HydroGym reinforcement learning platform for fluid dynamics

Nature
paper

A Python package with standardized environments for benchmarking reinforcement learning for flow control.

Aug 19, 2026
Christian Lagemann, Sajeda Mokbel, Miro Gondrum, Mario Rüttgers, Yuning Wang, Pol Suarez, Ludger Paehler, Deniz A. Bezgin, Aaron B. Buhendwa, Jared L. Callaham, Samuel Ahnert, Nicholas Zolman, Xiao Shao, Jean-Christophe Loiseau, Nikolaus A. Adams, Matthias Meinke, Wolgang Schröder, Kai Lagemann, Esther Lagemann, Ricardo Vinuesa, Steven L. Brunton

Podcast: Paroles d’Arts et Métiers

news
I have been invited to participate in the podcast Paroles d’Arts et Métiers to discuss about my research in fluid dynamics, my experience as a Faculty member at Arts et…
Apr 29, 2026
Jean-Christophe Loiseau

LightKrylov: Lightweight implementation of Krylov subspace techniques in modern Fortran

Journal of Open Source Software
paper

Reviving the Fortran Linear Algebra ecosystem

Jan 29, 2026
J. Simon Kern, Ricardo S. Frantz, Jean-Christophe Loiseau

Jacobi method: From a naïve implementation to a modern Fortran multithreaded one

blog
In a previous post, I used the Jacobi method to illustrate some merits of Fortran over Python for teaching purposes. Since then, I received a handful of messages asking how…
Sep 23, 2025
Jean-Christophe Loiseau

Is Fortran better than Python for teaching the basics of numerical linear algebra?

blog
Disclaimer – This is not a post about which language is the most elegant or which implementation is the fastest (we all know it’s Fortran). It’s about teaching the basics of…
Sep 9, 2025
Jean-Christophe Loiseau

PySINDy: A comprehensive Python package for robust sparse system identification

Journal of Open Source Software
paper

Bringing nonlinear system identification to Python

Jan 29, 2022
Alan A. Kaptanoglu, Brian M. de Silva, Urban Fasel, Kadierdan Kaheman, Andy J. Goldschmidt, Jared Callaham, Charles B. Delahunt, Zachary G. Nicolaou, Kathleen Champion, Jean-Christophe Loiseau, J. Nathan Kutz, Steven L. Brunton

Constrained sparse Galerkin regression

Journal of Fluid Mechanics
paper

A minimal-order model for the canonical cylinder flow

Jan 10, 2018
Jean-Christophe Loiseau, Steven L. Brunton

Investigation of the roughness-induced transition: global stability analyses and direct numerical simulations

Journal of Fluid Mechanics
paper

Solving very large-scale eigenvalue problems for understanding transition to turbulence

Nov 4, 2014
Jean-Christophe Loiseau, Jean-Christophe Robinet, Stefania Cherubini, Emmanuel Leriche
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