43 citations · 104 across the 11 of their papers we have counts for
7 papers · 1 filter
Fast generation of spectrally-shaped disorder, on the sphere
Mathias Casiulis, Stefano Martiniani
The design of disordered point patterns with desirable properties is an exciting and ongoing research endeavor, with applications ranging from materials to computer science. A succ…
Hamiltonian flocks: Time-Reversal Symmetry and its consequences
Mathias Casiulis, Leticia F. Cugliandolo
The fluctuation-dissipation theorem is a hallmark of equilibrium systems that stems from their time-reversal symmetry. In many non-equilibrium systems, in particular active ones, e…
Spatial and Temporal Cluster Tomography of Active Matter
Leone V. Luzzatto, Mathias Casiulis, Stefano Martiniani +1
Critical phase transitions have proven to be a powerful concept to capture the phenomenology of many systems, including deeply non-equilibrium ones like living systems. The study o…
Gyromorphs: a new class of functional disordered materials
Mathias Casiulis, Aaron Shih, Stefano Martiniani
We introduce a new class of functional correlated disordered materials, termed Gyromorphs, which uniquely combine liquid-like translational disorder with quasi-long-range rotationa…
The Basins of Attraction of Soft Sphere Packings Are Not Fractal
Praharsh Suryadevara, Mathias Casiulis, Stefano Martiniani
The energy landscape picture is a central tool to study many-body systems. In particular, the energy landscapes of glass-forming liquids, jammed packings, constraint satisfaction p…
Fast Generation of Spectrally-Shaped Disorder
Aaron Shih, Mathias Casiulis, Stefano Martiniani
Media with correlated disorder display unexpected transport properties, but it is still a challenge to design structures with desired spectral features at scale. In this work, we i…
When you can't count, sample! Computable entropies beyond equilibrium from basin volumes
Mathias Casiulis, Stefano Martiniani
In statistical mechanics, measuring the number of available states and their probabilities, and thus the system's entropy, enables the prediction of the macroscopic properties of a…