activity
20062024
most citedMachine Learning for Fluid Mechanics

2.9k citations · 4.9k across the 58 of their papers we have counts for

collaborators
Showing 2021Show all

7 papers · 1 filter

physics.flu-dyn2021★ 1 cited

Learning swimming escape patterns for larval fish under energy constraints

Ioannis Mandralis, Pascal Weber, Guido Novati +1

Swimming organisms can escape their predators by creating and harnessing unsteady flow fields through their body motions. Stochastic optimization and flow simulations have identifi…

physics.flu-dyn2021★ 169 cited

Scientific multi-agent reinforcement learning for wall-models of turbulent flows

H. Jane Bae, Petros Koumoutsakos

The predictive capabilities of turbulent flow simulations, critical for aerodynamic design and weather prediction, hinge on the choice of turbulence models. The abundance of data f…

physics.flu-dyn2021★ 34 cited

A computational study of expiratory particle transport and vortex dynamics during breathing with and without face masks

Ali Khosronejad, Seokkoo Kang, Fabian Wermelinger +2

We present high-fidelity numerical simulations of expiratory biosol transport during normal breathing under indoor, stagnant air conditions with and without a facial mask. We inves…

physics.comp-ph2021★ 28 cited

Computing foaming flows across scales: from breaking waves to microfluidics

Petr Karnakov, Sergey Litvinov, Petros Koumoutsakos

Crashing ocean waves, cappuccino froths and microfluidic bubble crystals are examples of foamy flows. Foamy flows are critical in numerous natural and industrial processes and rema…

physics.flu-dyn2021★ 104 cited

Learning Efficient Navigation in Vortical Flow Fields

Peter Gunnarson, Ioannis Mandralis, Guido Novati +2

Efficient point-to-point navigation in the presence of a background flow field is important for robotic applications such as ocean surveying. In such applications, robots may only…

physics.comp-ph2021

Accelerated Simulations of Molecular Systems through Learning of their Effective Dynamics

Pantelis R. Vlachas, Julija Zavadlav, Matej Praprotnik +1

Simulations are vital for understanding and predicting the evolution of complex molecular systems. However, despite advances in algorithms and special purpose hardware, accessing t…

physics.flu-dyn2021★ 35 cited

Independent Control and Path Planning of Microswimmers with a Uniform Magnetic Field

Lucas Amoudruz, Petros Koumoutsakos

Artificial bacteria flagella (ABFs) are magnetic helical micro-swimmers that can be remotely controlled via a uniform, rotating magnetic field. Previous studies have used the heter…