CENCINI, MASSIMO
CENCINI, MASSIMO
Istituto dei Sistemi Complessi - ISC
Modeling straight and circle swimmers: from single swimmer to collective motion
2024 Ventrella, Francesco Michele; Boffetta, Guido; Cencini, Massimo; De Lillo, Filippo
Nonequilibrium statistical mechanics of the turbulent energy cascade: Irreversibility and response functions
2024 Cocciaglia, Niccolò; Cencini, Massimo; Vulpiani, Angelo
Microswimmer trapping in surface waves with shear
2023 Ventrella, Fm; Pujara, N; Boffetta, G; Cencini, M; Thiffeault, Jl; De Lillo, F
Optimal tracking strategies in a turbulent flow
2023 Calascibetta, Chiara; Biferale, Luca; Borra, Francesco; Celani, Antonio; Cencini, Massimo
Taming Lagrangian chaos with multi-objective reinforcement learning
2023 Calascibetta, C; Biferale, L; Borra, F; Celani, A; Cencini, M
Topical issue on quantitative AI in complex fluids and complex flows: challenges and benchmarks
2023 Biferale, L; Buzzicotti, M; Cencini, M
Alignment of elongated swimmers in a laminar and turbulent Kolmogorov flow
2022 Borgnino, M; Boffetta, G; Cencini, M; De Lillo, F; Gustavsson, K
Instability of a dusty Kolmogorov flow
2022 Sozza, A; Cencini, M; Musacchio, S; Boffetta, G
Nonequilibrium ensembles for the three-dimensional Navier-Stokes equations
2022 Margazoglou, G; Biferale, L; Cencini, M; Gallavotti, G; Lucarini, V
Reinforcement learning for pursuit and evasion of microswimmers at low Reynolds number
2022 Borra, F; Biferale, L; Cencini, M; Celani, A
Stereovision for surveillance of Earth orbiting objects: Two methods and their validation with synthetic data
2022 Cavagna, Andrea; Cencini, Massimo; Melillo, Stefania; Parisi, Leonardo; Piergentili, Fabrizio; Santoni, Fabio; Sozza, Alessandro
A Random Walk in Physics: Beyond Black Holes and Time-Travels
2021 Cencini, Massimo; Puglisi, Andrea; Vergni, Davide; Vulpiani, Angelo
Joint assessment of density correlations and fluctuations for analysing spatial tree patterns
2021 Villegas, P; Cavagna, A; Cencini, M; Fort, H; Grigera, Ts
Optimal collision avoidance in swarms of active Brownian particles
2021 Borra, F.; Cencini, M.; Celani, A.
Collective olfactory search in a turbulent environment
2020 Durve, M.; Piro, L.; Cencini, M.; Biferale, L.; Celani, A.
Drag enhancement in a dusty Kolmogorov flow
2020 Sozza, A.; Cencini, M.; Musacchio, S.; Boffetta, G.
Effective models and predictability of chaotic multiscale systems via machine learning
2020 Borra, F.; Vulpiani, A.; Cencini, M.
Scalar absorption by particles advected in a turbulent flow
2020 Sozza, A; Cencini, M; De Lillo, F; Boffetta, G
Alignment of Nonspherical Active Particles in Chaotic Flows
2019 Borgnino, M.; Gustavsson, K.; De Lillo, F.; Boffetta, G.; Cencini, M.; Mehlig, B.
Gyrotactic phytoplankton in laminar and turbulent flows: A dynamical systems approach
2019 Cencini, M.; Boffetta, G.; Borgnino, M.; De Lillo, F.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Modeling straight and circle swimmers: from single swimmer to collective motion | 1-gen-2024 | Ventrella, Francesco Michele; Boffetta, Guido; Cencini, Massimo; De Lillo, Filippo | |
| Nonequilibrium statistical mechanics of the turbulent energy cascade: Irreversibility and response functions | 1-gen-2024 | Cocciaglia, Niccolò; Cencini, Massimo; Vulpiani, Angelo | |
| Microswimmer trapping in surface waves with shear | 1-gen-2023 | Ventrella, Fm; Pujara, N; Boffetta, G; Cencini, M; Thiffeault, Jl; De Lillo, F | |
| Optimal tracking strategies in a turbulent flow | 1-gen-2023 | Calascibetta, Chiara; Biferale, Luca; Borra, Francesco; Celani, Antonio; Cencini, Massimo | |
| Taming Lagrangian chaos with multi-objective reinforcement learning | 1-gen-2023 | Calascibetta, C; Biferale, L; Borra, F; Celani, A; Cencini, M | |
| Topical issue on quantitative AI in complex fluids and complex flows: challenges and benchmarks | 1-gen-2023 | Biferale, L; Buzzicotti, M; Cencini, M | |
| Alignment of elongated swimmers in a laminar and turbulent Kolmogorov flow | 1-gen-2022 | Borgnino, M; Boffetta, G; Cencini, M; De Lillo, F; Gustavsson, K | |
| Instability of a dusty Kolmogorov flow | 1-gen-2022 | Sozza, A; Cencini, M; Musacchio, S; Boffetta, G | |
| Nonequilibrium ensembles for the three-dimensional Navier-Stokes equations | 1-gen-2022 | Margazoglou, G; Biferale, L; Cencini, M; Gallavotti, G; Lucarini, V | |
| Reinforcement learning for pursuit and evasion of microswimmers at low Reynolds number | 1-gen-2022 | Borra, F; Biferale, L; Cencini, M; Celani, A | |
| Stereovision for surveillance of Earth orbiting objects: Two methods and their validation with synthetic data | 1-gen-2022 | Cavagna, Andrea; Cencini, Massimo; Melillo, Stefania; Parisi, Leonardo; Piergentili, Fabrizio; Santoni, Fabio; Sozza, Alessandro | |
| A Random Walk in Physics: Beyond Black Holes and Time-Travels | 1-gen-2021 | Cencini, Massimo; Puglisi, Andrea; Vergni, Davide; Vulpiani, Angelo | |
| Joint assessment of density correlations and fluctuations for analysing spatial tree patterns | 1-gen-2021 | Villegas, P; Cavagna, A; Cencini, M; Fort, H; Grigera, Ts | |
| Optimal collision avoidance in swarms of active Brownian particles | 1-gen-2021 | Borra, F.; Cencini, M.; Celani, A. | |
| Collective olfactory search in a turbulent environment | 1-gen-2020 | Durve, M.; Piro, L.; Cencini, M.; Biferale, L.; Celani, A. | |
| Drag enhancement in a dusty Kolmogorov flow | 1-gen-2020 | Sozza, A.; Cencini, M.; Musacchio, S.; Boffetta, G. | |
| Effective models and predictability of chaotic multiscale systems via machine learning | 1-gen-2020 | Borra, F.; Vulpiani, A.; Cencini, M. | |
| Scalar absorption by particles advected in a turbulent flow | 1-gen-2020 | Sozza, A; Cencini, M; De Lillo, F; Boffetta, G | |
| Alignment of Nonspherical Active Particles in Chaotic Flows | 1-gen-2019 | Borgnino, M.; Gustavsson, K.; De Lillo, F.; Boffetta, G.; Cencini, M.; Mehlig, B. | |
| Gyrotactic phytoplankton in laminar and turbulent flows: A dynamical systems approach | 1-gen-2019 | Cencini, M.; Boffetta, G.; Borgnino, M.; De Lillo, F. |