Mesoscopic modelling of local phase transitions and apparent-slip phenomena in microflows. - Roberto Benzi; Luca Biferale; Mauro Sbragaglia; Sauro Succi; Federico Toschi (Math. Comput. Simul., 2006)

Lattice Boltzmann fluid-dynamics on the QPACE supercomputer. - Luca Biferale; Filippo Mantovani; Marcello Pivanti; Mauro Sbragaglia; Andrea Scagliarini; Sebastiano Fabio Schifano; Federico Toschi; Raffaele Tripiccione (ICCS, 2010)

A Multi-GPU Implementation of a D2Q37 Lattice Boltzmann Code. - Luca Biferale; Filippo Mantovani; Marcello Pivanti; Fabio Pozzati; Mauro Sbragaglia; Andrea Scagliarini; Sebastiano Fabio Schifano; Federico Toschi; Raffaele Tripiccione (PPAM (1), 2011)

Lattice Boltzmann method simulations on massively parallel multi-core architectures. - Luca Biferale; Mauro Sbragaglia; Andrea Scagliarini; Filippo Mantovani; Marcello Pivanti; Sebastiano Fabio Schifano; Raffaele Tripiccione; Fabio Pozzati; Federico Toschi (SpringSim (HPC), 2011)

Optimization of Multi-Phase Compressible Lattice Boltzmann Codes on Massively Parallel Multi-Core Systems. - Luca Biferale; Filippo Mantovani; Marcello Pivanti; Fabio Pozzati; Mauro Sbragaglia; Andrea Scagliarini; Sebastiano Fabio Schifano; Federico Toschi; Raffaele Tripiccione (ICCS, 2011)

TurBase: A Software Platform for Research in Experimental and Numerical Fluid Dynamics. - Roberto Benzi; Luca Biferale; Fabio Bonaccorso; H. J. H. Clercx; Alessandro Corbetta; W. Mobius; Federico Toschi; Francesco Salvadore; C. Cacciari; G. Erbacci (HPCS, 2017)

Flow Navigation by Smart Microswimmers via Reinforcement Learning. - Simona Colabrese; Kristian Gustavsson; Antonio Celani; Luca Biferale (CoRR, 2017)

Finding Efficient Swimming Strategies in a Three Dimensional Chaotic Flow by Reinforcement Learning. - Kristian Gustavsson; Luca Biferale; Antonio Celani; Simona Colabrese (CoRR, 2017)

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)

Controlling Rayleigh-Bénard convection via Reinforcement Learning. - Gerben Beintema; Alessandro Corbetta; Luca Biferale; Federico Toschi (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)

Sub-Kolmogorov droplet dynamics in isotropic turbulence using a multiscale lattice Boltzmann scheme. - Felix Milan; Luca Biferale; Mauro Sbragaglia; Federico Toschi (J. Comput. Sci., 2020)

A lattice Boltzmann study on Brownian diffusion and friction of a particle in a confined multicomponent fluid. - Xiao Xue 002; Luca Biferale; Mauro Sbragaglia; Federico Toschi (J. Comput. Sci., 2020)

Reinforcement learning for pursuit and evasion of microswimmers at low Reynolds number. - Francesco Borra; Luca Biferale; Massimo Cencini; Antonio Celani (CoRR, 2021)

Inferring Turbulent Parameters via Machine Learning. - Michele Buzzicotti; Fabio Bonaccorso; Luca Biferale (CoRR, 2022)

Optimal policies for Bayesian olfactory search in turbulent flows. - Robin A. Heinonen; Luca Biferale; Antonio Celani; Massimo Vergassola (CoRR, 2022)

Data reconstruction of turbulent flows with Gappy POD, Extended POD and Generative Adversarial Networks. - Tianyi Li; Michele Buzzicotti; Luca Biferale; Fabio Bonaccorso; Shiyi Chen; Minping Wan (CoRR, 2022)

Taming Lagrangian Chaos with Multi-Objective Reinforcement Learning. - Chiara Calascibetta; Luca Biferale; Francesco Borra; Antonio Celani; Massimo Cencini (CoRR, 2022)

Generative Adversarial Networks to infer velocity components in rotating turbulent flows. - Tianyi Li; Michele Buzzicotti; Luca Biferale; Fabio Bonaccorso (CoRR, 2023)

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)

Optimal tracking strategies in a turbulent flow. - Chiara Calascibetta; Luca Biferale; Francesco Borra; Antonio Celani; Massimo Cencini (CoRR, 2023)

Stochastic Reconstruction of Gappy Lagrangian Turbulent Signals by Conditional Diffusion Models. - Tianyi Li; Luca Biferale; Fabio Bonaccorso; Michele Buzzicotti; Luca Centurioni (CoRR, 2024)

Synthetic Lagrangian turbulence by generative diffusion models. - Tianyi Li; Luca Biferale; Fabio Bonaccorso; Martino Andrea Scarpolini; Michele Buzzicotti (Nat. Mac. Intell., 2024)