Michele Buzzicotti | DeepAI

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Featured Co-authors

Tianyi Li
16 publications
Luca Biferale
9 publications
Fabio Bonaccorso
6 publications
Shiyi Chen
5 publications
Patricio Clark Di Leoni
4 publications
Kristian Gustavsson
2 publications
Minping Wan
1 publication
Lokahith Agasthya
1 publication

∙ 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...

3 Patricio Clark Di Leoni, et al. ∙

∙ 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...

4 Tianyi Li, et al. ∙

∙ 01/03/2022

Inferring Turbulent Parameters via Machine Learning

We design a machine learning technique to solve the general problem of i...

183 Michele Buzzicotti, et al. ∙

∙ 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...

0 Michele Buzzicotti, et al. ∙

∙ 07/17/2019

Zermelo's problem: Optimal point-to-point navigation in 2D turbulent flows using Reinforcement Learning

To find the path that minimizes the time to navigate between two given p...

4 Luca Biferale, et al. ∙

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