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Luca Biferale
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2020 – today
- 2024
- [j4]Tianyi Li, Luca Biferale, Fabio Bonaccorso, Martino Andrea Scarpolini, Michele Buzzicotti:
Synthetic Lagrangian turbulence by generative diffusion models. Nat. Mac. Intell. 6(4): 393-403 (2024) - 2023
- [i16]Tianyi Li, Michele Buzzicotti, Luca Biferale, Fabio Bonaccorso:
Generative Adversarial Networks to infer velocity components in rotating turbulent flows. CoRR abs/2301.07541 (2023) - [i15]Patricio Clark Di Leoni, Lokahith Agasthya, Michele Buzzicotti, Luca Biferale:
Reconstructing Rayleigh-Benard flows out of temperature-only measurements using Physics-Informed Neural Networks. CoRR abs/2301.07769 (2023) - [i14]Chiara Calascibetta, Luca Biferale, Francesco Borra, Antonio Celani, Massimo Cencini:
Optimal tracking strategies in a turbulent flow. CoRR abs/2305.04677 (2023) - [i13]Tianyi Li, Luca Biferale, Fabio Bonaccorso, Martino Andrea Scarpolini, Michele Buzzicotti:
Synthetic Lagrangian Turbulence by Generative Diffusion Models. CoRR abs/2307.08529 (2023) - 2022
- [i12]Michele Buzzicotti, Fabio Bonaccorso, Luca Biferale:
Inferring Turbulent Parameters via Machine Learning. CoRR abs/2201.00732 (2022) - [i11]Robin A. Heinonen, Luca Biferale, Antonio Celani, Massimo Vergassola:
Optimal policies for Bayesian olfactory search in turbulent flows. CoRR abs/2207.04277 (2022) - [i10]Tianyi Li, Michele Buzzicotti, Luca Biferale, Fabio Bonaccorso, Shiyi Chen, Minping Wan:
Data reconstruction of turbulent flows with Gappy POD, Extended POD and Generative Adversarial Networks. CoRR abs/2210.11921 (2022) - [i9]Chiara Calascibetta, Luca Biferale, Francesco Borra, Antonio Celani, Massimo Cencini:
Taming Lagrangian Chaos with Multi-Objective Reinforcement Learning. CoRR abs/2212.09612 (2022) - 2021
- [i8]Michele Buzzicotti, Luca Biferale, Fabio Bonaccorso, Patricio Clark Di Leoni, Kristian Gustavsson:
Optimal control of point-to-point navigation in turbulent time-dependent flows using Reinforcement Learning. CoRR abs/2103.00329 (2021) - [i7]Francesco Borra, Luca Biferale, Massimo Cencini, Antonio Celani:
Reinforcement learning for pursuit and evasion of microswimmers at low Reynolds number. CoRR abs/2106.08609 (2021) - 2020
- [j3]Felix Milan, Luca Biferale, Mauro Sbragaglia, Federico Toschi:
Sub-Kolmogorov droplet dynamics in isotropic turbulence using a multiscale lattice Boltzmann scheme. J. Comput. Sci. 45: 101178 (2020) - [j2]Xiao Xue, Luca Biferale, Mauro Sbragaglia, Federico Toschi:
A lattice Boltzmann study on Brownian diffusion and friction of a particle in a confined multicomponent fluid. J. Comput. Sci. 47: 101113 (2020) - [c7]Michele Buzzicotti, Luca Biferale, Fabio Bonaccorso, Patricio Clark Di Leoni, Kristian Gustavsson:
Optimal Control of Point-to-Point Navigation in Turbulent Flows using Reinforcement Learning. AIRO@AI*IA 2020: 39-43 - [c6]Michele Buzzicotti, Luca Biferale, Fabio Bonaccorso, Patricio Clark Di Leoni, Kristian Gustavsson:
Optimal Control of Point-to-Point Navigation in Turbulent Time Dependent Flows Using Reinforcement Learning. AI*IA 2020: 223-234 - [i6]Gerben Beintema, Alessandro Corbetta, Luca Biferale, Federico Toschi:
Controlling Rayleigh-Bénard convection via Reinforcement Learning. CoRR abs/2003.14358 (2020) - [i5]Luca Biferale, Fabio Bonaccorso, Michele Buzzicotti, Patricio Clark Di Leoni:
TURB-Rot. A large database of 3d and 2d snapshots from turbulent rotating flows. CoRR abs/2006.07469 (2020) - [i4]Michele Buzzicotti, Fabio Bonaccorso, Patricio Clark Di Leoni, Luca Biferale:
Reconstruction of turbulent data with deep generative models for semantic inpainting from TURB-Rot database. CoRR abs/2006.09179 (2020)
2010 – 2019
- 2019
- [i3]Luca Biferale, Fabio Bonaccorso, Michele Buzzicotti, Patricio Clark Di Leoni, Kristian Gustavsson:
Zermelo's problem: Optimal point-to-point navigation in 2D turbulent flows using Reinforcement Learning. CoRR abs/1907.08591 (2019) - 2017
- [c5]Roberto Benzi, Luca Biferale, Fabio Bonaccorso, H. J. H. Clercx, Alessandro Corbetta, W. Mobius, Federico Toschi, Francesco Salvadore, C. Cacciari, G. Erbacci:
TurBase: A Software Platform for Research in Experimental and Numerical Fluid Dynamics. HPCS 2017: 51-57 - [i2]Simona Colabrese, Kristian Gustavsson, Antonio Celani, Luca Biferale:
Flow Navigation by Smart Microswimmers via Reinforcement Learning. CoRR abs/1701.08848 (2017) - [i1]Kristian Gustavsson, Luca Biferale, Antonio Celani, Simona Colabrese:
Finding Efficient Swimming Strategies in a Three Dimensional Chaotic Flow by Reinforcement Learning. CoRR abs/1711.05826 (2017) - 2011
- [c4]Luca Biferale, Filippo Mantovani, Marcello Pivanti, Fabio Pozzati, Mauro Sbragaglia, Andrea Scagliarini, Sebastiano Fabio Schifano, Federico Toschi, Raffaele Tripiccione:
A Multi-GPU Implementation of a D2Q37 Lattice Boltzmann Code. PPAM (1) 2011: 640-650 - [c3]Luca Biferale, Mauro Sbragaglia, Andrea Scagliarini, Filippo Mantovani, Marcello Pivanti, Sebastiano Fabio Schifano, Raffaele Tripiccione, Fabio Pozzati, Federico Toschi:
Lattice Boltzmann method simulations on massively parallel multi-core architectures. SpringSim (HPC) 2011: 73-80 - [c2]Luca Biferale, Filippo Mantovani, Marcello Pivanti, Fabio Pozzati, Mauro Sbragaglia, Andrea Scagliarini, Sebastiano Fabio Schifano, Federico Toschi, Raffaele Tripiccione:
Optimization of Multi-Phase Compressible Lattice Boltzmann Codes on Massively Parallel Multi-Core Systems. ICCS 2011: 994-1003 - 2010
- [c1]Luca Biferale, Filippo Mantovani, Marcello Pivanti, Mauro Sbragaglia, Andrea Scagliarini, Sebastiano Fabio Schifano, Federico Toschi, Raffaele Tripiccione:
Lattice Boltzmann fluid-dynamics on the QPACE supercomputer. ICCS 2010: 1075-1082
2000 – 2009
- 2006
- [j1]Roberto Benzi, Luca Biferale, Mauro Sbragaglia, Sauro Succi, Federico Toschi:
Mesoscopic modelling of local phase transitions and apparent-slip phenomena in microflows. Math. Comput. Simul. 72(2-6): 84-88 (2006)
Coauthor Index
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