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Year: 2022

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 Mechanics

“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 Mechanics

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 Mechanics 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 Mechanics…Continue Reading 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 Mechanics

Our viewpoint “Bayesian uncertainty quantification for machine-learned models in physics” was published in Nature Reviews Physics

"Bayesian uncertainty quantification for machine-learned models in physics" published in Nature Reviews Physics

Our viewpoint “Bayesian uncertainty quantification for machine-learned models in physics” was published in Nature Reviews Physics Our paper “Bayesian uncertainty quantification for machine-learned models in physics” was published in Nature Reviews Physics…Continue Reading Our viewpoint “Bayesian uncertainty quantification for machine-learned models in physics” was published in Nature Reviews Physics

Our paper “Scientific multi-agent reinforcement learning for wall-models of turbulent flows” has been featured as a Nature Communications Editors’ Highlight

"Scientific multi-agent reinforcement learning for wall-models of turbulent flows" featured as a Nature Communications Editors’ Highlight

Our paper “Scientific multi-agent reinforcement learning for wall-models of turbulent flows” has been featured as a Nature Communications Editors’ Highlight The editors at Nature Communications have selected our paper “Scientific multi-agent reinforcement learning for wall-models of turbulent flows” to be featured on the Editors’ Highlights webpage….Continue Reading Our paper “Scientific multi-agent reinforcement learning for wall-models of turbulent flows” has been featured as a Nature Communications Editors’ Highlight

Our paper “Nanopumps without pressure gradients: ultrafast transport of water in patterned nanotubes” was published and featured on the cover of Journal of Physical Chemistry B

“Nanopumps without pressure gradients: ultrafast transport of water in patterned nanotubes” was published and featured on the cover of Journal of Physical Chemistry B

Our paper “Nanopumps without pressure gradients: ultrafast transport of water in patterned nanotubes” was published and featured on the cover of Journal of Physical Chemistry B Our paper “Nanopumps without pressure gradients: ultrafast transport of water in patterned nanotubes” was published and featured on the cover of Journal of Physical Chemistry B…Continue Reading Our paper “Nanopumps without pressure gradients: ultrafast transport of water in patterned nanotubes” was published and featured on the cover of Journal of Physical Chemistry B