Natural swarms in 3.99 dimensions
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 …
that allow for the calculation of universal quantities that encompass the behaviour of different …
Building general Langevin models from discrete datasets
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 …
experimental access to the configurational degrees of freedom results in data that appear to …
Dynamical renormalization group approach to the collective behavior of swarms
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 …
the collective behavior of natural swarms, using the dynamical renormalization group under …
Discrete Laplacian thermostat for spin systems with conserved dynamics
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 …
symmetries and conservation laws play an important role is to microcanonically integrate …
Equilibrium to off-equilibrium crossover in homogeneous active matter
We study the crossover between equilibrium and off-equilibrium dynamical universality
classes in the Vicsek model near its ordering transition. Starting from the incompressible …
classes in the Vicsek model near its ordering transition. Starting from the incompressible …
Universal properties of active membranes
We put forward a general field theory for nearly flat fluid membranes with embedded
activators and analyze their critical properties using renormalization group techniques …
activators and analyze their critical properties using renormalization group techniques …
Dynamical renormalization group for mode-coupling field theories with solenoidal constraint
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 …
biological systems has brought field theory and the renormalization group into the …
Data driven modeling for self-similar dynamics
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 …
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
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 …
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
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 …
model has been introduced to explain certain dynamic features of swarming (second sound …