1 citations · 1 across the 19 of their papers we have counts for
21 papers
Drift of interfaces in forced stably-stratified turbulence and the role of vertically-sheared helical structures
Niccolò Cocciaglia, Luca Biferale, Fabio Bonaccorso +1
Experimental investigations of forced stably stratified turbulence (SST) have shown that the step-like density profile, made of well-mixed density layers and sharp interfaces alter…
Gappy Reconstruction of Bubbly Flows by Guided Diffusion Models
Hridey Narula, Tianyi Li, Michele Buzzicotti +2
Experiments in multiphase flows are often limited in their ability to simultaneously obtain velocity measurements in different phases. At the same time, flow reconstruction from ph…
Stochastic Multiscale Reconstruction of Lagrangian Turbulence via Guided Diffusion Models
Conghui Wang, Tianyi Li, Luca Biferale +3
Lagrangian turbulence is characterized by intermittent, fat-tailed fluctuations and nontrivial correlations across temporal scales, making a quantitative description of its full mu…
Smart strategies to navigate turbulent odor plumes reorienting to local wind
Lorenzo Piro, Maurizio Carbone, Luca Biferale +4
Olfactory search in turbulent environments is a sensorimotor problem that many animals solve with remarkable efficiency, yet replicating this ability in artificial systems is an en…
Turbulent pair dispersion with Stochastic Generative Diffusion Models
Andrei Pantea, Luca Biferale, Michele Buzzicotti +3
Recent advances in data-driven modeling have shown that diffusion models can successfully generate synthetic Lagrangian trajectories in turbulent flows. Building on this progress,…
Olfactory pursuit: catching a moving odor source in complex flows
Maurizio Carbone, Lorenzo Piro, Robin A. Heinonen +3
Locating and intercepting a moving target from possibly delayed, intermittent sensory signals is a paradigmatic problem in decision-making under uncertainty, and a fundamental chal…
Physics-Constrained Diffusion Model for Synthesis of 3D Turbulent Data
Tianyi Li, Michele Buzzicotti, Fabio Bonaccorso +1
Synthesizing fully developed three-dimensional turbulent velocity fields remains a long-standing problem in fluid mechanics and an open challenge for generative modeling. The diffi…
Adaptive shape control for microswimmer navigation in turbulence
Jingran Qiu, Lorenzo Piro, Luca Biferale +3
Navigation in turbulent environments is a fundamental challenge for biological and artificial microswimmers. While most existing studies focus on adapting motility or steering, the…
On the importance of stochasticity in closures of turbulence
André Freitas, Luca Biferale, Mathieu Desbrun +3
Deterministic closures for coarse-grained turbulence models help reproduce mean statistics, but often fail to capture the finite-time growth of uncertainty. Using the framework of…
Long-time evolution of density layers and interfaces in forced stably-stratified flows
Niccolo Cocciaglia, Fabio Bonaccorso, Alessandra Sabina Lanotte +1
Stably stratified fluids subject to sustained forcing are known to develop step-like density "staircases", where nearly homogeneous layers alternate with thin interfaces of strong…
Super-resolution of satellite-derived SST data via Generative Adversarial Networks
Claudia Fanelli, Tiany Li, Luca Biferale +4
In this work, we address the super-resolution problem of satellite-derived sea surface temperature (SST) using deep generative models. Although standard gap-filling techniques are…
TURB-Scalar. A large database of passive scalar fields advected by 2D Navier-Stokes in the turbulent inverse cascade regime
Chiara Calascibetta, Luca Biferale, Fabio Bonaccorso +1
We introduce TURB-Scalar, an open-access database comprising approximately uncorrelated snapshots of two-dimensional turbulent velocity and passive scalar fields, obtained fr…
TURB-Smoke. A database of Lagrangian pollutants emitted from point-sources and dispersed in turbulent flows
Luca Biferale, Fabio Bonaccorso, Niccolò Cocciaglia +2
Identifying the location and characteristics of pollution sources in turbulent flows is challenging, especially for environmental monitoring and emergency response, due to sparse,…
Deterministic diffusion models for Lagrangian turbulence: robustness and encoding of extreme events
Tianyi Li, Flavio Tuteri, Michele Buzzicotti +2
Modeling Lagrangian turbulence remains a fundamental challenge due to its multiscale, intermittent, and non-Gaussian nature. Recent advances in data-driven diffusion models have en…
Multi-Scale Data Assimilation in Turbulent Models
Francesco Fossella, Luca Biferale, Alberto Carrassi +2
We explore the potential of Data-Assimilation (DA) within the multi-scale framework of a shell model of turbulence, with a focus on the Ensemble Kalman Filter (EnKF). The central o…
Lagrangian analysis of turbulent blood flow in the human left heart
Fabio Guglietta, Martino Andrea Scarpolini, Francesco Viola +1
We present a Lagrangian analysis of turbulent blood flow in the human left heart using high-fidelity simulations based on a patient-specific anatomical model. Leveraging a fully co…
Hidden symmetry in passive scalar advected by 2D Navier-Stokes turbulence
Chiara Calascibetta, Luca Biferale, Fabio Bonaccorso +2
Here we show that passive scalars possess a hidden scaling symmetry when considering suitably rescaled fields. Such a symmetry implies (i) universal probability distribution for sc…
Scale invariance of intermittency in LES turbulence
B. Magacho, S. Thalabard, M. Buzzicotti +3
Turbulent flows exhibit large intermittent fluctuations from inertial to dissipative scales, characterized by multifractal statistics and breaking the statistical self-similarity.…
TURB-MHD: an open-access database of forced homogeneous magnetohydrodynamic turbulence
Damiano Capocci, Luca Biferale, Fabio Bonaccorso +1
We present TURB-MHD, a database formed by six datasets of three-dimensional incompressible homogeneous magnetohydrodynamic turbulence maintained by a large-scale random forcing wit…
A posteriori closure of turbulence models: are symmetries preserved?
André Freitas, Kiwon Um, Mathieu Desbrun +2
Turbulence modeling remains a longstanding challenge in fluid dynamics. Recent advances in data-driven methods have led to a surge of novel approaches aimed at addressing this prob…
Energy Flux Decomposition in Magnetohydrodynamic Turbulence
D. Capocci, P. Johnson, S. Oughton +2
In hydrodynamic (HD) turbulence an exact decomposition of the energy flux across scales has been derived that identifies the contributions associated with vortex stretching and str…