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Drag Reduction in Flows Past 2D and 3D Circular Cylinders Through Deep Reinforcement Learning
Michail Chatzimanolakis, Pascal Weber, Petros Koumoutsakos
We investigate drag reduction mechanisms in flows past two- and three-dimensional cylinders controlled by surface actuators using deep reinforcement learning. We investigate 2D and…
CubismAMR -- A C++ library for Distributed Block-Structured Adaptive Mesh Refinement
Michail Chatzimanolakis, Pascal Weber, Fabian Wermelinger +1
We present CubismAMR, a C++ library for distributed simulations with block-structured grids and Adaptive Mesh Refinement. A numerical method to solve the incompressible Navier-Stok…
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…
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…
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…
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…