Zermelo's problem: Optimal point-to-point navigation in 2D turbulent flows using Reinforcement Learning. - Luca Biferale; Fabio Bonaccorso; Michele Buzzicotti; Patricio Clark Di Leoni; Kristian Gustavsson (CoRR, 2019)

Optimal Control of Point-to-Point Navigation in Turbulent Flows using Reinforcement Learning. - Michele Buzzicotti; Luca Biferale; Fabio Bonaccorso; Patricio Clark Di Leoni; Kristian Gustavsson (AIRO@AI*IA, 2020)

Optimal Control of Point-to-Point Navigation in Turbulent Time Dependent Flows Using Reinforcement Learning. - Michele Buzzicotti; Luca Biferale; Fabio Bonaccorso; Patricio Clark Di Leoni; Kristian Gustavsson (AI*IA, 2020)

Physics-informed neural network for ultrasound nondestructive quantification of surface breaking cracks. - Khemraj Shukla; Patricio Clark Di Leoni; James L. Blackshire; Daniel Sparkman; George Em Karniadakis (CoRR, 2020)

TURB-Rot. A large database of 3d and 2d snapshots from turbulent rotating flows. - Luca Biferale; Fabio Bonaccorso; Michele Buzzicotti; Patricio Clark Di Leoni (CoRR, 2020)

Reconstruction of turbulent data with deep generative models for semantic inpainting from TURB-Rot database. - Michele Buzzicotti; Fabio Bonaccorso; Patricio Clark Di Leoni; Luca Biferale (CoRR, 2020)

Reconstructing Rayleigh-Benard flows out of temperature-only measurements using Physics-Informed Neural Networks. - Patricio Clark Di Leoni; Lokahith Agasthya; Michele Buzzicotti; Luca Biferale (CoRR, 2023)

Neural operator prediction of linear instability waves in high-speed boundary layers. - Patricio Clark Di Leoni; Lu Lu 010; Charles Meneveau; George Em Karniadakis; Tamer A. Zaki (J. Comput. Phys., 2023)

Instability-wave prediction in hypersonic boundary layers with physics-informed neural operators. - Yue Hao; Patricio Clark Di Leoni; Olaf Marxen; Charles Meneveau; George Em Karniadakis; Tamer A. Zaki (J. Comput. Sci., 2023)