119 citations · 780 across the 49 of their papers we have counts for
49 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…
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…
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…
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…
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…
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…
Stochastic Reconstruction of Gappy Lagrangian Turbulent Signals by Conditional Diffusion Models
Tianyi Li, Luca Biferale, Fabio Bonaccorso +2
We present a stochastic method for reconstructing missing spatial and velocity data along the trajectories of small objects passively advected by turbulent flows with a wide range…
Generative diffusion models for synthetic trajectories of heavy and light particles in turbulence
Tianyi Li, Samuele Tommasi, Michele Buzzicotti +2
Heavy and light particles are commonly found in many natural phenomena and industrial processes, such as suspensions of bubbles, dust, and droplets in incompressible turbulent flow…
TURB-Hel: an open-access database of helically forced homogeneous and isotropic turbulence
Luca Biferale, Fabio Bonaccorso, Moritz Linkmann +1
We present TURB-Hel, a database formed by two datasets of incompressible homogeneous and isotropic turbulence, maintained in a statistically stationary state by fully helical forci…
Multi-scale Reconstruction of Turbulent Rotating Flows with Generative Diffusion Models
Tianyi Li, Alessandra S. Lanotte, Michele Buzzicotti +2
We address the problem of data augmentation in a rotating turbulence set-up, a paradigmatic challenge in geophysical applications. The goal is to reconstruct information in two-dim…
Synthetic Lagrangian Turbulence by Generative Diffusion Models
Tianyi Li, Luca Biferale, Fabio Bonaccorso +2
Lagrangian turbulence lies at the core of numerous applied and fundamental problems related to the physics of dispersion and mixing in engineering, bio-fluids, atmosphere, oceans,…
Multiscale Hybrid Modeling of Proteins in Solvent: SARS-CoV2 Spike Protein as test case for Lattice Boltzmann -- All Atom Molecular Dynamics Coupling
Marco Lauricella, Letizia Chiodo, Fabio Bonaccorso +6
Physiological solvent flows surround biological structures triggering therein collective motions. Notable examples are virus/host-cell interactions and solvent-mediated allosteric…
Thread-safe lattice Boltzmann for high-performance computing on GPUs
Andrea Montessori, Marco Lauricella, Adriano Tiribocchi +5
We present thread-safe, highly-optimized lattice Boltzmann implementations, specifically aimed at exploiting the high memory bandwidth of GPU-based architectures. At variance with…
TURB-Lagr. A database of 3d Lagrangian trajectories in homogeneous and isotropic turbulence
Luca Biferale, Fabio Bonaccorso, Michele Buzzicotti +1
We present TURB-Lagr, a new open database of 3d turbulent Lagrangian trajectories, obtained by Direct Numerical Simulations (DNS) of the original Navier-Stokes equations in the pre…
Generative Adversarial Networks to infer velocity components in rotating turbulent flows
Tianyi Li, Michele Buzzicotti, Luca Biferale +1
Inference problems for two-dimensional snapshots of rotating turbulent flows are studied. We perform a systematic quantitative benchmark of point-wise and statistical reconstructio…
Lightweight Lattice Boltzmann
Adriano Tiribocchi, Andrea Montessori, Giorgio Amati +5
A GPU-accelerated version of the lattice Boltzmann method for efficient simulation of soft materials is introduced. Unlike standard approaches, this method reconstructs the distrib…
Multi-scale data reconstruction of turbulent rotating flows with Gappy POD, Extended POD and Generative Adversarial Networks
Tianyi Li, Michele Buzzicotti, Luca Biferale +3
Data reconstruction of rotating turbulent snapshots is investigated utilizing data-driven tools. This problem is crucial for numerous geophysical applications and fundamental aspec…
DropTrack -- automatic droplet tracking using deep learning for microfluidic applications
Mihir Durve, Adriano Tiribocchi, Fabio Bonaccorso +5
Deep neural networks are rapidly emerging as data analysis tools, often outperforming the conventional techniques used in complex microfluidic systems. One fundamental analysis fre…
Stochastic jetting and dripping in confined soft granular flows
Michał Bogdan, Andrea Montessori, Adriano Tiribocchi +5
We report new dynamical modes in confined soft granular flows, such as stochastic jetting and dripping, with no counterpart in continuum viscous fluids. The new modes emerge as a r…
Curvature dynamics and long-range effects on fluid-fluid interfaces with colloids
A. Tiribocchi, F. Bonaccorso, M. Lauricella +3
We investigate the dynamics of a phase-separating binary fluid, containing colloidal dumbbells anchored to the fluid-fluid interface. Extensive Lattice Boltzmann-Immersed Boundary…