A Physics-Informed Machine-Learning Platform for Smart Lagrangian Harness and Control of TURBulence

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Publicaciones

Energetic cost of microswimmer navigation: The role of body shape

Autores: Lorenzo Piro; Andrej Vilfan; Ramin Golestanian; Benoît Mahault
Publicado en: Phys. Rev. Research, Edición 6, 2024, ISSN 2643-1564
Editor: APS
DOI: 10.1103/physrevresearch.6.013274

Large-scale convective flow sustained by thermally active Lagrangian tracers

Autores: Lokahith Agasthya; Andreas Bartel; Luca Biferale; Matthias Ehrhardt; Federico Toschi
Publicado en: Journal of Fluid Mechanics, Edición 20, 2022, ISSN 0022-1120
Editor: Cambridge University Press
DOI: 10.1017/jfm.2022.892

Reconstruction of turbulent data with deep generative models for semantic inpainting from TURB-Rot database

Autores: Michele Buzzicotti; Fabio Bonaccorso; Fabio Bonaccorso; P. Clark di Leoni; Luca Biferale
Publicado en: Physical Review Fluids, 2021, ISSN 2469-990X
Editor: APS
DOI: 10.1103/physrevfluids.6.050503

Generation of momentum transport in weakly turbulent β-plane magnetohydrodynamics

Autores: R. A. Heinonen; P. H. Diamond; M. F. D. Katz; G. E. Ronimo
Publicado en: Physical Review E, Edición 107, 2023, ISSN 2470-0045
Editor: APS
DOI: 10.1103/physreve.107.025202

Taming Lagrangian Chaos with Multi-Objective Reinforcement Learning

Autores: Calascibetta, Chiara; Biferale, Luca; Borra, Francesco; Celani, Antonio; Cencini, Massimo
Publicado en: The European Physical Journal E, Edición 46, 2023, ISSN 1292-895X
Editor: Springer Nature
DOI: 10.1140/epje/s10189-023-00271-0

Multi-Scale Reconstruction of Turbulent Rotating Flows with Generative Diffusion Models

Autores: Tianyi Li; Alessandra S. Lanotte; Michele Buzzicotti; Fabio Bonaccorso; Luca Biferale
Publicado en: Atmosphere, Edición 15, 2023, ISSN 2073-4433
Editor: Rotoweb Cantelli
DOI: 10.3390/atmos15010060

Continuum modeling of shear startup in soft glassy materials.

Autores: Roberto Benzi; Thibaut Divoux; Catherine Barentin; Sébastien Manneville; Mauro Sbragaglia; Federico Toschi
Publicado en: Physical Review E, 2021, ISSN 2470-0053
Editor: APS
DOI: 10.1103/physreve.104.034612

Spatio-Temporal Coarse-Graining Decomposition of the Global Ocean Geostrophic Kinetic Energy

Autores: Buzzicotti M.; Storer B.A.; Khatri H.; Griffies S.M.; Aluie H.
Publicado en: Journal of Advances in Modeling Earth Systems, Edición 15, 2023, ISSN 1942-2466
Editor: American Geophysical Union
DOI: 10.1029/2023ms003693

Lectures on turbulence

Autores: Roberto Benzi; Federico Toschi
Publicado en: Physics Reports, Edición 1021, 2023, ISSN 0370-1573
Editor: Elsevier BV
DOI: 10.1016/j.physrep.2023.05.001

Non-equilibrium Ensembles for the three-dimensional Navier-Stokes Equations

Autores: G. Margazoglou; L. Biferale; M. Cencini; G. Gallavotti; V. Lucarini
Publicado en: Physical Review E, 2022, ISSN 2470-0053
Editor: APS
DOI: 10.1103/physreve.105.065110

Reduced model for droplet dynamics in shear flows at finite capillary numbers

Autores: Diego Taglienti; Fabio Guglietta; Mauro Sbragaglia
Publicado en: Physical Review Fluids, Edición 8, 2023, ISSN 2469-990X
Editor: APS
DOI: 10.1103/physrevfluids.8.013603

Reconstructing Rayleigh–Bénard flows out of temperature-only measurements using Physics-Informed Neural Networks

Autores: Patricio Clark Di Leoni; Lokahith Agasthya; Michele Buzzicotti; Luca Biferale
Publicado en: The European Physical Journal E, Edición 46, 2023, ISSN 1292-895X
Editor: Springer Nature
DOI: 10.1140/epje/s10189-023-00276-9

Evolution of a Stratified Turbulent Cloud under Rotation

Autores: Tianyi Li; Minping Wan; Shiyi Chen
Publicado en: Atmosphere, Edición 14, 2023, ISSN 2073-4433
Editor: Rotoweb Cantelli
DOI: 10.3390/atmos14101590

Analysis of the heat transfer fluctuations in the Rayleigh–Bénard convection of concentrated emulsions with finite-size droplets

Autores: Francesca Pelusi; Stefano Ascione; Mauro Sbragaglia; Massimo Bernaschi
Publicado en: Soft Matter, Edición 19, 2023, ISSN 1744-683X
Editor: Royal Society of Chemistry
DOI: 10.1039/d3sm00716b

$\lambda$-Navier-Stokes turbulence

Autores: Alexakis, Alexandros; Biferale, Luca
Publicado en: Phyl Transaction of Royal Soc A, 2022, ISSN 1471-2962
Editor: Royal Society
DOI: 10.1098/rsta.2021.0243

Heavy and light inertial particle aggregates in homogeneous isotropic turbulence: A study on breakup and stress statistics

Autores: Graziano Frungieri; Matthäus U. Bäbler; Luca Biferale; Alessandra S. Lanotte
Publicado en: Computers and Fluids, Edición 263, 2023, ISSN 0045-7930
Editor: Pergamon Press Ltd.
DOI: 10.1016/j.compfluid.2023.105944

A lattice Boltzmann study of particle settling in a fluctuating multicomponent fluid under confinement

Autores: Xiao Xue; Luca Biferale; Mauro Sbragaglia; Federico Toschi
Publicado en: The European Physical Journal E, 2021, ISSN 1292-895X
Editor: Springer Nature
DOI: 10.1140/epje/s10189-021-00144-4

Optimal policies for Bayesian olfactory search in turbulent flows

Autores: R. A. Heinonen; L. Biferale; A. Celani; M. Vergassola
Publicado en: Physical Review E, Edición 107, 2023, ISSN 2470-0045
Editor: APS
DOI: 10.1103/physreve.107.055105

Optimal tracking strategies in a turbulent flow

Autores: Chiara Calascibetta; Luca Biferale; Francesco Borra; Antonio Celani; Massimo Cencini
Publicado en: Communications Physics, Edición 6, 2023, ISSN 2399-3650
Editor: Springer Nature
DOI: 10.1038/s42005-023-01366-y

Metastable and Unstable Dynamics in multi-phase lattice Boltzmann

Autores: Lulli, Matteo; Biferale, Luca; Falcucci, Giacomo; Sbragaglia, Mauro; Yang, Dong; Shan, Xiaowen
Publicado en: Physical Review E, Edición 109, 2024, ISSN 2470-0053
Editor: APS
DOI: 10.1103/physreve.109.045304

Mesoscale perspective on the Tolman length

Autores: Lulli M.; Biferale L.; Falcucci G.; Sbragaglia M.; Shan X.
Publicado en: Physical Review E, Edición 105, 2022, ISSN 2470-0045
Editor: APS
DOI: 10.1103/physreve.105.015301

Deep reinforcement learning for the olfactory search POMDP: a quantitative benchmark

Autores: Robin Heinonen; Aurore Loisy
Publicado en: The European Physical Journal E, Edición 46, 2023, ISSN 1292-895X
Editor: Springer Nature
DOI: 10.1140/epje/s10189-023-00277-8

Multi-scale reconstruction of turbulent rotating flows with proper orthogonal decomposition and generative adversarial networks

Autores: Li T.; Buzzicotti M.; Biferale L.; Bonaccorso F.; Chen S.; Wan M.
Publicado en: Journal of Fluid Mechanics, Edición 971, 2023, ISSN 0022-1120
Editor: Cambridge University Press
DOI: 10.1017/jfm.2023.573

Acceleration of tracer and light particles in compressible homogeneous isotropic turbulence

Autores: Wang, Xiangjun; Wan, Minping; Biferale, Luca
Publicado en: Journal Fluid Mechanics, 2022, ISSN 1469-7645
Editor: Cambridge University Press
DOI: 10.1017/jfm.2022.35

Global energy spectrum of the general oceanic circulation

Autores: Benjamin A. Storer, Michele Buzzicotti, Hemant Khatri, Stephen M. Griffies & Hussein Aluie
Publicado en: Nature Communications, 2022, ISSN 2041-1723
Editor: Nature Publishing Group
DOI: 10.1038/s41467-022-33031-3

Generative adversarial networks to infer velocity components in rotating turbulent flows

Autores: Tianyi Li; Michele Buzzicotti; Luca Biferale; Fabio Bonaccorso
Publicado en: The European Physical Journal E, Edición 5, 2023, ISSN 1292-895X
Editor: Springer Nature
DOI: 10.1140/epje/s10189-023-00286-7

Stress Overshoots in Simple Yield Stress Fluids.

Autores: Roberto Benzi; Thibaut Divoux; Catherine Barentin; Sébastien Manneville; Mauro Sbragaglia; Federico Toschi
Publicado en: Physical Review Letters, 2021, ISSN 1079-7114
Editor: APS
DOI: 10.1103/physrevlett.127.148003

Synthetic Lagrangian Turbulence by Generative Diffusion Models

Autores: Li, Tianyi; Biferale, Luca; Bonaccorso, Fabio; Scarpolini, Martino Andrea; Buzzicotti, Michele
Publicado en: Nature Machine Intelligence, Edición 6, 2024, ISSN 2522-5839
Editor: Springer Nature
DOI: 10.1038/s42256-024-00810-0

Magnetic ground states of a model for M Nb3 S6 (M=Co, Fe, Ni)

Autores: O. Heinonen; R. A. Heinonen; H. Park
Publicado en: Physical Review Materials, Edición 6, 2022, ISSN 2475-9953
Editor: APS
DOI: 10.1103/physrevmaterials.6.024405

Thread-safe lattice Boltzmann for high-performance computing on GPUs

Autores: Montessori A.; Lauricella M.; Tiribocchi A.;Durve M.; La Rocca M.; Amati G.; Bonaccorso F.; Succi S.
Publicado en: Journal of Computational Science, Edición 74, 2023, ISSN 1877-7503
Editor: Elsevier BV
DOI: 10.1016/j.jocs.2023.102165

Structure and isotropy of lattice pressure tensors for multirange potentials.

Autores: Matteo Lulli; Luca Biferale; Giacomo Falcucci; Giacomo Falcucci; Mauro Sbragaglia; Xiaowen Shan
Publicado en: Physical Review E, 2021, ISSN 2470-0053
Editor: APS
DOI: 10.1103/physreve.103.063309

Inertial range statistics of the entropic lattice Boltzmann method in three-dimensional turbulence.

Autores: Michele Buzzicotti; Guillaume Tauzin; Guillaume Tauzin
Publicado en: Physical Review E, Edición 104, 2021, ISSN 2470-0045
Editor: APS
DOI: 10.1103/physreve.104.015302

New exact Betchov-like relation for the helicity flux in homogeneous turbulence

Autores: Damiano Capocci; Perry L. Johnson; Sean Oughton; Luca Biferale; Moritz Linkmann
Publicado en: Journal Fluid Mechanics, Edición 963, 2023, ISSN 1469-7645
Editor: Cambridge University Press
DOI: 10.1017/jfm.2023.236

Inferring turbulent environments via machine learning

Autores: Buzzicotti M.; Bonaccorso F.
Publicado en: European Physical Journal E, Edición 45, 2022, ISSN 1292-8941
Editor: Springer Verlag
DOI: 10.1140/epje/s10189-022-00258-3

Instanton-based importance sampling for extreme fluctuations in a shell model for turbulent energy cascade

Autores: Guilherme Tegoni Goedert; Luca Biferale
Publicado en: European Physical Journal E, Edición 46, 2023, ISSN 1292-8941
Editor: Springer Verlag
DOI: 10.1140/epje/s10189-023-00392-6

Reconstructing Rayleigh–Bénard flows out of temperature-only measurements using nudging

Autores: Lokahith Agasthya; Patricio Clark Di Leoni; Luca Biferale
Publicado en: Physics of Fluids, 2022, ISSN 1089-7666
Editor: AIP
DOI: 10.1063/5.0079625

Reinforcement learning for pursuit and evasion of microswimmers at low Reynolds number

Autores: Francesco Borra; Luca Biferale; Massimo Cencini; Antonio Celani
Publicado en: Physical review fluids, 2022, ISSN 2469-990X
Editor: APS
DOI: 10.48550/arxiv.2106.08609

Ductile Breakup of Tracer Aggregates in Homogenous Isotropic Turbulence

Autores: Frungieri, Graziano; Babler, Matthaus U.; Biferale, Luca; Lanotte, Alessandra S.
Publicado en: Chemical Engineering transactions, Edición 100, 2023, ISSN 2283-9216
Editor: The Italian Association of Chemical Engineering
DOI: 10.3303/cet23100063

Oscillations Modulating Power Law Exponents in Isotropic Turbulence: Comparison of Experiments with Simulations

Autores: Kartik P. Iyer; Gregory P. Bewley; Luca Biferale; Katepalli R. Sreenivasan; Katepalli R. Sreenivasan; Pui-Kuen Yeung
Publicado en: Physical Review Letters, 2021, ISSN 1079-7114
Editor: APS
DOI: 10.1103/physrevlett.126.254501

Data reconstruction for complex flows using AI: Recent progress, obstacles, and perspectives

Autores: Michele Buzzicotti
Publicado en: Europhysics Letters, Edición 142, 2023, ISSN 0295-5075
Editor: EDP Sciences
DOI: 10.1209/0295-5075/acc88c

Global cascade of kinetic energy in the ocean and the atmospheric imprint

Autores: Benjamin A. Storer; Michele Buzzicotti; Hemant Khatri; Stephen M. Griffies; Hussein Aluie
Publicado en: Science advances, Edición 9, 2023, ISSN 2375-2548
Editor: AAAS
DOI: 10.1126/sciadv.adi7420

Immiscible Rayleigh-Taylor turbulence using mesoscopic lattice Boltzmann algorithms

Autores: Hugo S. Tavares; Luca Biferale; Mauro Sbragaglia; Alexei A. Mailybaev
Publicado en: Physical Review Fluids, 2021, ISSN 2469-990X
Editor: APS
DOI: 10.1103/physrevfluids.6.054606

Lightweight lattice Boltzmann

Autores: Tiribocchi A.; Montessori A.; Amati G.; Bernaschi M.; Bonaccorso F.; Orlandini S.; Succi S.; Lauricella M.
Publicado en: The Journal of Chemical Physics, Edición 10, 2023, Página(s) 104101, ISSN 0021-9606
Editor: American Institute of Physics
DOI: 10.1063/5.0139850

Minimal phase-coupling model for intermittency in turbulent systems

Autores: José-Agustín Arguedas-Leiva; Enda Carroll; Luca Biferale; Michael Wilczek; Miguel D. Bustamante
Publicado en: Physical Review Research, 2022, ISSN 2643-1564
Editor: APS
DOI: 10.1103/physrevresearch.4.l032035

Mesoscale Modelling of the Tolman Length in Multi-component Systems

Autores: Lulli, Matteo; Biferale, Luca; Falcucci, Giacomo; Sbragaglia, Mauro; Shan, Xiaowen
Publicado en: Springer INdAM Series, Edición 51, 2022, ISSN 2281-518X
Editor: Springer
DOI: 10.1007/978-981-19-6462-6_14

Topical issue on quantitative AI in complex fluids and complex flows: challenges and benchmarks

Autores: Luca Biferale; Michele Buzzicotti; Massimo Cencini;
Publicado en: The European Physical Journal E, Edición 46, 2023, ISSN 1292-895X
Editor: Springer Nature
DOI: 10.1140/epje/s10189-023-00356-w

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