July 19, 2021Our editorial “Machine Learning and Physical Review Fluids: An Editorial Perspective” was published in Physical Review Fluids [PDF].
Our paper “Vortex separation cascades in simulations of the planar flow past an impulsively started cylinder up to Re=100 000” was published in the Journal of Fluid MechanicsTuesday, December 20, 2022
Our viewpoint "Bayesian uncertainty quantification for machine-learned models in physics" was published in Nature Reviews PhysicsTuesday, August 23, 2022
Our paper "Scientific multi-agent reinforcement learning for wall-models of turbulent flows" has been featured as a Nature Communications Editors’ Highlight Tuesday, March 22, 2022