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

Project Information

Smart-TURB

Grant agreement ID: 882340

DOI

10.3030/882340

EC signature date 14 May 2020

Start date 1 May 2021

End date 30 April 2026

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost

€ 2 248 875,00

EU contribution

€ 2 248 875,00

Coordinated by

UNIVERSITA DEGLI STUDI DI ROMA TOR VERGATA
Italy

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Open Research Data Pilot (1)

Data Management Plan

Publications

Peer reviewed articles (44)

Energetic cost of microswimmer navigation: The role of body shape

Author(s): Lorenzo Piro; Andrej Vilfan; Ramin Golestanian; Benoît Mahault
Published in: Phys. Rev. Research, Issue 6, 2024, ISSN 2643-1564
Publisher: APS
DOI: 10.1103/physrevresearch.6.013274

Large-scale convective flow sustained by thermally active Lagrangian tracers

Author(s): Lokahith Agasthya; Andreas Bartel; Luca Biferale; Matthias Ehrhardt; Federico Toschi
Published in: Journal of Fluid Mechanics, Issue 20, 2022, ISSN 0022-1120
Publisher: Cambridge University Press
DOI: 10.1017/jfm.2022.892

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

Author(s): Michele Buzzicotti; Fabio Bonaccorso; Fabio Bonaccorso; P. Clark di Leoni; Luca Biferale
Published in: Physical Review Fluids, 2021, ISSN 2469-990X
Publisher: APS
DOI: 10.1103/physrevfluids.6.050503

Generation of momentum transport in weakly turbulent β-plane magnetohydrodynamics

Author(s): R. A. Heinonen; P. H. Diamond; M. F. D. Katz; G. E. Ronimo
Published in: Physical Review E, Issue 107, 2023, ISSN 2470-0045
Publisher: APS
DOI: 10.1103/physreve.107.025202

Taming Lagrangian Chaos with Multi-Objective Reinforcement Learning

Author(s): Calascibetta, Chiara; Biferale, Luca; Borra, Francesco; Celani, Antonio; Cencini, Massimo
Published in: The European Physical Journal E, Issue 46, 2023, ISSN 1292-895X
Publisher: Springer Nature
DOI: 10.1140/epje/s10189-023-00271-0

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

Author(s): Tianyi Li; Alessandra S. Lanotte; Michele Buzzicotti; Fabio Bonaccorso; Luca Biferale
Published in: Atmosphere, Issue 15, 2023, ISSN 2073-4433
Publisher: Rotoweb Cantelli
DOI: 10.3390/atmos15010060

Continuum modeling of shear startup in soft glassy materials.

Author(s): Roberto Benzi; Thibaut Divoux; Catherine Barentin; Sébastien Manneville; Mauro Sbragaglia; Federico Toschi
Published in: Physical Review E, 2021, ISSN 2470-0053
Publisher: APS
DOI: 10.1103/physreve.104.034612

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

Author(s): Buzzicotti M.; Storer B.A.; Khatri H.; Griffies S.M.; Aluie H.
Published in: Journal of Advances in Modeling Earth Systems, Issue 15, 2023, ISSN 1942-2466
Publisher: American Geophysical Union
DOI: 10.1029/2023ms003693

Lectures on turbulence

Author(s): Roberto Benzi; Federico Toschi
Published in: Physics Reports, Issue 1021, 2023, ISSN 0370-1573
Publisher: Elsevier BV
DOI: 10.1016/j.physrep.2023.05.001

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

Author(s): G. Margazoglou; L. Biferale; M. Cencini; G. Gallavotti; V. Lucarini
Published in: Physical Review E, 2022, ISSN 2470-0053
Publisher: APS
DOI: 10.1103/physreve.105.065110

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

Author(s): Diego Taglienti; Fabio Guglietta; Mauro Sbragaglia
Published in: Physical Review Fluids, Issue 8, 2023, ISSN 2469-990X
Publisher: APS
DOI: 10.1103/physrevfluids.8.013603

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

Author(s): Patricio Clark Di Leoni; Lokahith Agasthya; Michele Buzzicotti; Luca Biferale
Published in: The European Physical Journal E, Issue 46, 2023, ISSN 1292-895X
Publisher: Springer Nature
DOI: 10.1140/epje/s10189-023-00276-9

Evolution of a Stratified Turbulent Cloud under Rotation

Author(s): Tianyi Li; Minping Wan; Shiyi Chen
Published in: Atmosphere, Issue 14, 2023, ISSN 2073-4433
Publisher: Rotoweb Cantelli
DOI: 10.3390/atmos14101590

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

Author(s): Francesca Pelusi; Stefano Ascione; Mauro Sbragaglia; Massimo Bernaschi
Published in: Soft Matter, Issue 19, 2023, ISSN 1744-683X
Publisher: Royal Society of Chemistry
DOI: 10.1039/d3sm00716b

$\lambda$-Navier-Stokes turbulence

Author(s): Alexakis, Alexandros; Biferale, Luca
Published in: Phyl Transaction of Royal Soc A, 2022, ISSN 1471-2962
Publisher: 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

Author(s): Graziano Frungieri; Matthäus U. Bäbler; Luca Biferale; Alessandra S. Lanotte
Published in: Computers and Fluids, Issue 263, 2023, ISSN 0045-7930
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.compfluid.2023.105944

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

Author(s): Xiao Xue; Luca Biferale; Mauro Sbragaglia; Federico Toschi
Published in: The European Physical Journal E, 2021, ISSN 1292-895X
Publisher: Springer Nature
DOI: 10.1140/epje/s10189-021-00144-4

Optimal policies for Bayesian olfactory search in turbulent flows

Author(s): R. A. Heinonen; L. Biferale; A. Celani; M. Vergassola
Published in: Physical Review E, Issue 107, 2023, ISSN 2470-0045
Publisher: APS
DOI: 10.1103/physreve.107.055105

Optimal tracking strategies in a turbulent flow

Author(s): Chiara Calascibetta; Luca Biferale; Francesco Borra; Antonio Celani; Massimo Cencini
Published in: Communications Physics, Issue 6, 2023, ISSN 2399-3650
Publisher: Springer Nature
DOI: 10.1038/s42005-023-01366-y

Metastable and Unstable Dynamics in multi-phase lattice Boltzmann

Author(s): Lulli, Matteo; Biferale, Luca; Falcucci, Giacomo; Sbragaglia, Mauro; Yang, Dong; Shan, Xiaowen
Published in: Physical Review E, Issue 109, 2024, ISSN 2470-0053
Publisher: APS
DOI: 10.1103/physreve.109.045304

Mesoscale perspective on the Tolman length

Author(s): Lulli M.; Biferale L.; Falcucci G.; Sbragaglia M.; Shan X.
Published in: Physical Review E, Issue 105, 2022, ISSN 2470-0045
Publisher: APS
DOI: 10.1103/physreve.105.015301

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

Author(s): Robin Heinonen; Aurore Loisy
Published in: The European Physical Journal E, Issue 46, 2023, ISSN 1292-895X
Publisher: 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

Author(s): Li T.; Buzzicotti M.; Biferale L.; Bonaccorso F.; Chen S.; Wan M.
Published in: Journal of Fluid Mechanics, Issue 971, 2023, ISSN 0022-1120
Publisher: Cambridge University Press
DOI: 10.1017/jfm.2023.573

Acceleration of tracer and light particles in compressible homogeneous isotropic turbulence

Author(s): Wang, Xiangjun; Wan, Minping; Biferale, Luca
Published in: Journal Fluid Mechanics, 2022, ISSN 1469-7645
Publisher: Cambridge University Press
DOI: 10.1017/jfm.2022.35

Global energy spectrum of the general oceanic circulation

Author(s): Benjamin A. Storer, Michele Buzzicotti, Hemant Khatri, Stephen M. Griffies & Hussein Aluie
Published in: Nature Communications, 2022, ISSN 2041-1723
Publisher: Nature Publishing Group
DOI: 10.1038/s41467-022-33031-3

Generative adversarial networks to infer velocity components in rotating turbulent flows

Author(s): Tianyi Li; Michele Buzzicotti; Luca Biferale; Fabio Bonaccorso
Published in: The European Physical Journal E, Issue 5, 2023, ISSN 1292-895X
Publisher: Springer Nature
DOI: 10.1140/epje/s10189-023-00286-7

Stress Overshoots in Simple Yield Stress Fluids.

Author(s): Roberto Benzi; Thibaut Divoux; Catherine Barentin; Sébastien Manneville; Mauro Sbragaglia; Federico Toschi
Published in: Physical Review Letters, 2021, ISSN 1079-7114
Publisher: APS
DOI: 10.1103/physrevlett.127.148003

Synthetic Lagrangian Turbulence by Generative Diffusion Models

Author(s): Li, Tianyi; Biferale, Luca; Bonaccorso, Fabio; Scarpolini, Martino Andrea; Buzzicotti, Michele
Published in: Nature Machine Intelligence, Issue 6, 2024, ISSN 2522-5839
Publisher: Springer Nature
DOI: 10.1038/s42256-024-00810-0

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

Author(s): O. Heinonen; R. A. Heinonen; H. Park
Published in: Physical Review Materials, Issue 6, 2022, ISSN 2475-9953
Publisher: APS
DOI: 10.1103/physrevmaterials.6.024405

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

Author(s): Montessori A.; Lauricella M.; Tiribocchi A.;Durve M.; La Rocca M.; Amati G.; Bonaccorso F.; Succi S.
Published in: Journal of Computational Science, Issue 74, 2023, ISSN 1877-7503
Publisher: Elsevier BV
DOI: 10.1016/j.jocs.2023.102165

Structure and isotropy of lattice pressure tensors for multirange potentials.

Author(s): Matteo Lulli; Luca Biferale; Giacomo Falcucci; Giacomo Falcucci; Mauro Sbragaglia; Xiaowen Shan
Published in: Physical Review E, 2021, ISSN 2470-0053
Publisher: APS
DOI: 10.1103/physreve.103.063309

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

Author(s): Michele Buzzicotti; Guillaume Tauzin; Guillaume Tauzin
Published in: Physical Review E, Issue 104, 2021, ISSN 2470-0045
Publisher: APS
DOI: 10.1103/physreve.104.015302

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

Author(s): Damiano Capocci; Perry L. Johnson; Sean Oughton; Luca Biferale; Moritz Linkmann
Published in: Journal Fluid Mechanics, Issue 963, 2023, ISSN 1469-7645
Publisher: Cambridge University Press
DOI: 10.1017/jfm.2023.236

Inferring turbulent environments via machine learning

Author(s): Buzzicotti M.; Bonaccorso F.
Published in: European Physical Journal E, Issue 45, 2022, ISSN 1292-8941
Publisher: 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

Author(s): Guilherme Tegoni Goedert; Luca Biferale
Published in: European Physical Journal E, Issue 46, 2023, ISSN 1292-8941
Publisher: Springer Verlag
DOI: 10.1140/epje/s10189-023-00392-6

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

Author(s): Lokahith Agasthya; Patricio Clark Di Leoni; Luca Biferale
Published in: Physics of Fluids, 2022, ISSN 1089-7666
Publisher: AIP
DOI: 10.1063/5.0079625

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

Author(s): Francesco Borra; Luca Biferale; Massimo Cencini; Antonio Celani
Published in: Physical review fluids, 2022, ISSN 2469-990X
Publisher: APS
DOI: 10.48550/arxiv.2106.08609

Ductile Breakup of Tracer Aggregates in Homogenous Isotropic Turbulence

Author(s): Frungieri, Graziano; Babler, Matthaus U.; Biferale, Luca; Lanotte, Alessandra S.
Published in: Chemical Engineering transactions, Issue 100, 2023, ISSN 2283-9216
Publisher: The Italian Association of Chemical Engineering
DOI: 10.3303/cet23100063

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

Author(s): Kartik P. Iyer; Gregory P. Bewley; Luca Biferale; Katepalli R. Sreenivasan; Katepalli R. Sreenivasan; Pui-Kuen Yeung
Published in: Physical Review Letters, 2021, ISSN 1079-7114
Publisher: APS
DOI: 10.1103/physrevlett.126.254501

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

Author(s): Michele Buzzicotti
Published in: Europhysics Letters, Issue 142, 2023, ISSN 0295-5075
Publisher: EDP Sciences
DOI: 10.1209/0295-5075/acc88c

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

Author(s): Benjamin A. Storer; Michele Buzzicotti; Hemant Khatri; Stephen M. Griffies; Hussein Aluie
Published in: Science advances, Issue 9, 2023, ISSN 2375-2548
Publisher: AAAS
DOI: 10.1126/sciadv.adi7420

Immiscible Rayleigh-Taylor turbulence using mesoscopic lattice Boltzmann algorithms

Author(s): Hugo S. Tavares; Luca Biferale; Mauro Sbragaglia; Alexei A. Mailybaev
Published in: Physical Review Fluids, 2021, ISSN 2469-990X
Publisher: APS
DOI: 10.1103/physrevfluids.6.054606

Lightweight lattice Boltzmann

Author(s): Tiribocchi A.; Montessori A.; Amati G.; Bernaschi M.; Bonaccorso F.; Orlandini S.; Succi S.; Lauricella M.
Published in: The Journal of Chemical Physics, Issue 10, 2023, Page(s) 104101, ISSN 0021-9606
Publisher: American Institute of Physics
DOI: 10.1063/5.0139850

Minimal phase-coupling model for intermittency in turbulent systems

Author(s): José-Agustín Arguedas-Leiva; Enda Carroll; Luca Biferale; Michael Wilczek; Miguel D. Bustamante
Published in: Physical Review Research, 2022, ISSN 2643-1564
Publisher: APS
DOI: 10.1103/physrevresearch.4.l032035

Book chapters (1)

Mesoscale Modelling of the Tolman Length in Multi-component Systems

Author(s): Lulli, Matteo; Biferale, Luca; Falcucci, Giacomo; Sbragaglia, Mauro; Shan, Xiaowen
Published in: Springer INdAM Series, Issue 51, 2022, ISSN 2281-518X
Publisher: Springer
DOI: 10.1007/978-981-19-6462-6_14

Non-peer reviewed articles (1)

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

Author(s): Luca Biferale; Michele Buzzicotti; Massimo Cencini;
Published in: The European Physical Journal E, Issue 46, 2023, ISSN 1292-895X
Publisher: Springer Nature
DOI: 10.1140/epje/s10189-023-00356-w