Preprints
Spatio-temporal coarse-graining decomposition of the global ocean geostrophic kinetic energy
M. Buzzicotti, B. A. Storer, H. Khatri, S. M. Griffies & H. Aluie (2021).
doi: https://doi.org/10.48550/arXiv.2106.04157
Data reconstruction of turbulent flows with Gappy POD, Extended POD and Generative Adversarial Networks
T. Li, M. Buzzicotti, L. Biferale, F. Bonaccorso, S. Chen & M. Wan (2022).
doi: https://doi.org/10.48550/arXiv.2210.11921
TURB-Lagr. A database of 3d Lagrangian trajectories in homogeneous and isotropic turbulence
L. Biferale, F. Bonaccorso, M. Buzzicotti, C. Calascibetta (2023).
doi: https://doi.org/10.48550/arXiv.2303.08662
TURB-Rot. A large database of 3d and 2d snapshots from turbulent rotating flows
L. Biferale, F. Bonaccorso, M. Buzzicotti, P. Clark Di Leoni (2020).
doi: https://doi.org/10.48550/arXiv.2006.07469
Journal Articles
Generative Adversarial Networks to infer velocity components in rotating turbulent flows
T. Li, M. Buzzicotti, L. Biferale & F. Bonaccorso (2023). The European Physical Journal E 46, Article number: 31
doi: https://doi.org/10.1140/epje/s10189-023-00286-7
Reconstructing Rayleigh-Benard flows out of temperature-only measurements using Physics-Informed Neural Networks
P. Clark Di Leoni, L. Agasthya, M. Buzzicotti, L. Biferale (2023). The European Physical Journal E 46, Article number: 16
doi: https://doi.org/10.1140/epje/s10189-023-00276-9
Data reconstruction for complex flows using AI: recent progress, obstacles, and perspectives
M. Buzzicotti (2023). Europhysics Letters, Volume 142, Number 2
doi: 10.1209/0295-5075/acc88c
Reconstruction of turbulent data with deep generative models for semantic inpainting from TURB-Rot database
M. Buzzicotti, F. Bonaccorso, P. Clark Di Leoni, L. Biferale (2021). Phys. Rev. Fluids 6, 050503.
doi: https://doi.org/10.1103/PhysRevFluids.6.050503
Inferring turbulent environments via machine learning
M. Buzzicotti & F. Bonaccorso (2022). The European Physical Journal E 45, Article number: 102
doi: https://doi.org/10.1140/epje/s10189-022-00258-3
Global energy spectrum of the general oceanic circulation
B. A. Storer, M. Buzzicotti, H. Khatri, S. M. Griffies & H. Aluie (2022). Nature Communications volume 13, Article number: 5314.
doi: https://doi.org/10.1038/s41467-022-33031-3
Inertial range statistics of the entropic lattice Boltzmann method in three-dimensional turbulence
M. Buzzicotti & G. Tauzin (2021). Phys. Rev. E 104, 015302.
doi: https://doi.org/10.1103/PhysRevE.104.015302
Reconstruction of turbulent data with deep generative models for semantic inpainting from TURB-Rot database
M. Buzzicotti, F. Bonaccorso, P. Clark Di Leoni, and L. Biferale (2021). Phys. Rev. Fluids 6, 050503
doi: https://doi.org/10.1103/PhysRevFluids.6.050503
Optimal control of point-to-point navigation in turbulent time dependent flows using reinforcement learning
M. Buzzicotti, L. Biferale, F. Bonaccorso, P. Clark di Leoni & K. Gustavsson (2021). AIxIA 2020 – Advances in Artificial Intelligence. AIxIA 2020. Lecture Notes in Computer Science(), vol 12414. Springer, Cham.
doi: https://doi.org/10.1007/978-3-030-77091-4_14
Synchronizing subgrid scale models of turbulence to data
M. Buzzicotti & P. Clark Di Leoni (2020). Physics of Fluids 32, 125116.
doi: https://doi.org/10.1063/5.0031835
Phase transitions and flux-loop metastable states in rotating turbulence
P. Clark Di Leoni, A. Alexakis, L. Biferale & M. Buzzicotti (2020). Phys. Rev. Fluids 5, 104603.
doi: https://doi.org/10.1103/PhysRevFluids.5.104603
Statistical properties of turbulence in the presence of a smart small-scale control
M. Buzzicotti, L. Biferale & F. Toschi (2020). Phys. Rev. Lett. 124, 084504
doi: https://doi.org/10.1103/PhysRevLett.124.084504
Zermelo’s problem: Optimal point-to-point navigation in 2D turbulent flows using reinforcement learning
L. Biferale, F. Bonaccorso, M. Buzzicotti, P. Clark Di Leoni & K. Gustavsson (2019). Chaos 29 (10): 103138.
doi: https://doi.org/10.1063/1.5120370
Self-similar subgrid-scale models for inertial range turbulence and accurate measurements of intermittency
L. Biferale, F. Bonaccorso, M. Buzzicotti & K. P. Iyer (2019). Phys. Rev. Lett. 123, 014503.
doi: https://doi.org/10.1103/PhysRevLett.123.014503
A priori study of the subgrid energy transfers for small-scale dynamo in kinematic and saturation regimes
G. P. Offermans, L. Biferale, M. Buzzicotti & M. Linkmann (2018). Physics of Plasmas 25, 122307.
doi: https://doi.org/10.1063/1.5046842
Multi-scale properties of large eddy simulations: correlations between resolved-scale velocity-field increments and subgrid-scale quantities
M. Linkmann, M. Buzzicotti & L. Biferale (2018). Journal of Turbulence, 19:6, 493-527.
doi: https://doi.org/10.1080/14685248.2018.1462497
Energy transfer in turbulence under rotation
M. Buzzicotti, H. Aluie, L. Biferale & M. Linkmann (2018). Phys. Rev. Fluids 3, 034802.
doi: https://doi.org/10.1103/PhysRevFluids.3.034802
Effect of filter type on the statistics of energy transfer between resolved and subfilter scales from a-priori analysis of direct numerical simulations of isotropic turbulence
M. Buzzicotti, M. Linkmann, H. Aluie, L. Biferale, J. Brasseur & C. Meneveau (2018). Journal of Turbulence, 19:2, 167-197.
doi: https://doi.org/10.1080/14685248.2017.1417597
On the inverse energy transfer in rotating turbulence
M. Buzzicotti, P. Clark Di Leoni & L. Biferale (2018). The European Physical Journal E 41, Article number: 131.
doi: https://doi.org/10.1140/epje/i2018-11742-4
Nonuniversal behaviour of helical two-dimensional three-component turbulence
M. Linkmann, M. Buzzicotti & L. Biferale (2018). The European Physical Journal E 41, Article number: 4
doi: https://doi.org/10.1140/epje/i2018-11612-1
From two-dimensional to three-dimensional turbulence through two-dimensional three-component flows
L. Biferale, M. Buzzicotti & M. Linkmann (2017). Physics of Fluids 29, 111101.
doi: https://doi.org/10.1063/1.4990082
Lagrangian statistics for Navier–Stokes turbulence under Fourier-mode reduction: fractal and homogeneous decimations
M. Buzzicotti, A. Bhatnagar, L. Biferale, A. S. Lanotte & S. Sankar Ray (2016). New J. Phys. 18 113047
doi: 10.1088/1367-2630/18/11/113047
Intermittency in fractal Fourier hydrodynamics: Lessons from the Burgers equation
M. Buzzicotti, L. Biferale, U. Frisch, S. Sankar Ray (2016). Phys. Rev. E 93, 033109
doi: https://doi.org/10.1103/PhysRevE.93.033109
Phase and precession evolution in the Burgers equation
M. Buzzicotti, B. P. Murray, L. Biferale & M. D. Bustamante(2016). The European Physical Journal E volume 39, Article number: 34.
doi: https://doi.org/10.1140/epje/i2016-16034-5