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01/18/2023
Reconstructing Rayleigh-Benard flows out of temperature-only measurements using Physics-Informed Neural Networks
We investigate the capabilities of Physics-Informed Neural Networks (PIN...
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12/19/2022
Taming Lagrangian Chaos with Multi-Objective Reinforcement Learning
We consider the problem of two active particles in 2D complex flows with...
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10/21/2022
Data reconstruction of turbulent flows with Gappy POD, Extended POD and Generative Adversarial Networks
Three methods are used to reconstruct two-dimensional instantaneous velo...
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07/09/2022
Optimal policies for Bayesian olfactory search in turbulent flows
In many practical scenarios, a flying insect must search for the source ...
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01/03/2022
Inferring Turbulent Parameters via Machine Learning
We design a machine learning technique to solve the general problem of i...
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06/16/2021
Reinforcement learning for pursuit and evasion of microswimmers at low Reynolds number
Aquatic organisms can use hydrodynamic cues to navigate, find their prey...
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02/27/2021
Optimal control of point-to-point navigation in turbulent time-dependent flows using Reinforcement Learning
We present theoretical and numerical results concerning the problem to f...
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03/31/2020
Controlling Rayleigh-Bénard convection via Reinforcement Learning
Thermal convection is ubiquitous in nature as well as in many industrial...
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07/17/2019
