Natural swarms in 3.99 dimensions

A Cavagna, L Di Carlo, I Giardina, TS Grigera… - Nature Physics, 2023 - nature.com
The renormalization group is a key set of ideas and quantitative tools of statistical physics
that allow for the calculation of universal quantities that encompass the behaviour of different …

Building general Langevin models from discrete datasets

F Ferretti, V Chardès, T Mora, AM Walczak, I Giardina - Physical Review X, 2020 - APS
Many living and complex systems exhibit second-order emergent dynamics. Limited
experimental access to the configurational degrees of freedom results in data that appear to …

Dynamical renormalization group approach to the collective behavior of swarms

A Cavagna, L Di Carlo, I Giardina, L Grandinetti… - Physical Review Letters, 2019 - APS
We study the critical behavior of a model with nondissipative couplings aimed at describing
the collective behavior of natural swarms, using the dynamical renormalization group under …

Discrete Laplacian thermostat for spin systems with conserved dynamics

A Cavagna, J Cristín, I Giardina, M Veca - Physical Review B, 2023 - APS
A well-established numerical technique to study the dynamics of spin systems in which
symmetries and conservation laws play an important role is to microcanonically integrate …

Equilibrium to off-equilibrium crossover in homogeneous active matter

A Cavagna, L Di Carlo, I Giardina, TS Grigera… - Physical Review …, 2021 - APS
We study the crossover between equilibrium and off-equilibrium dynamical universality
classes in the Vicsek model near its ordering transition. Starting from the incompressible …

Universal properties of active membranes

F Cagnetta, V Škultéty, MR Evans, D Marenduzzo - Physical Review E, 2022 - APS
We put forward a general field theory for nearly flat fluid membranes with embedded
activators and analyze their critical properties using renormalization group techniques …

Dynamical renormalization group for mode-coupling field theories with solenoidal constraint

A Cavagna, L Di Carlo, I Giardina, T Grigera… - Journal of Statistical …, 2021 - Springer
The recent inflow of empirical data about the collective behaviour of strongly correlated
biological systems has brought field theory and the renormalization group into the …

Data driven modeling for self-similar dynamics

R Tao, N Tao, Y You, J Zhang - Physica D: Nonlinear Phenomena, 2025 - Elsevier
Multiscale modeling of complex systems is crucial for understanding their intricacies. In
recent years, data-driven multiscale modeling has emerged as a promising approach to …

Discrete Laplacian thermostat for flocks and swarms: the fully conserved Inertial Spin Model

A Cavagna, J Cristín, I Giardina, TS Grigera… - arxiv preprint arxiv …, 2024 - arxiv.org
Experiments on bird flocks and midge swarms reveal that these natural systems are well
described by an active theory in which conservation laws play a crucial role. By building a …

Inertial spin model of flocking with position-dependent forces

S Carruitero, AC Duran, G Pisegna, MB Sturla… - Physical Review E, 2024 - APS
We propose an extension to the inertial spin model (ISM) of flocking and swarming. The
model has been introduced to explain certain dynamic features of swarming (second sound …