activity
20242026
collaborators

6 papers

cond-mat.soft2026

On the Renormalization Group Flow of Active Flocks

Kevin T. Grosvenor, Subodh P. Patil

In this paper, we study the statistical field-theoretic renormalization of active flocks via the MSRDJ action formulation for stochastic systems, focusing on the Toner-Tu theory of…

cond-mat.stat-mech2026

Renormalization of Interacting Random Graph Models

Alessio Catanzaro, Diego Garlaschelli, Subodh P. Patil

Random graphs offer a useful mathematical representation of a variety of real world complex networks. Exponential random graphs, for example, are particularly suited towards genera…

hep-th2025

Hydrodynamics without Boost-Invariance from Kinetic Theory: From Perfect Fluids to Active Flocks

Kevin T. Grosvenor, Niels A. Obers, Subodh P. Patil

We derive the hydrodynamic equations of perfect fluids without boost invariance [1] from kinetic theory. Our approach is to follow the standard derivation of the Vlasov hierarchy b…

astro-ph.CO2025

Primordial Gravitational Wave Probes of Non-Standard Thermal Histories

Annet Konings, Mariia Marinichenko, Oleksii Mikulenko +1

Primordial gravitational waves propagate almost unimpeded from the moment they are generated to the present epoch. Nevertheless, they are subject to convolution with a non-trivial…

cond-mat.stat-mech2025

A General Solution for Network Models with Pairwise Edge Coupling

Alessio Catanzaro, Subodh Patil, Diego Garlaschelli

Network Models with couplings between link pairs are the simplest models for a class of networks with Higher Order interactions. In this paper we give an analytic, general solution…

cond-mat.stat-mech2024

Network Renormalization

Andrea Gabrielli, Diego Garlaschelli, Subodh P. Patil +1

The renormalization group (RG) is a powerful theoretical framework developed to consistently transform the description of configurations of systems with many degrees of freedom, al…