collaborators

6 papers

physics.ao-ph2026

Mesoscale Eddy -- Internal Wave Coupling. III. The End of the Enstrophy Cascade and Maintenance of Gyre Scale Potential Vorticity Gradients

Kurt L. Polzin, Giovanni Dematteis

We assess a prognostic formulation of triple coherence relating to energy exchange between mesoscale eddies and the internal wavefield and compare with observations from the Sargas…

cond-mat.stat-mech2026

Resonant interactions in the -FPUT lattice with site-dependent coefficients

Lorenzo Migliorelli, Giovanni Dematteis, Sergio Chibbaro +1

The wave turbulence framework has proven to be an effective tool for analyzing certain features of nonlinear energy transfer in one-dimensional nonlinear chains. In this work, we e…

physics.ao-ph2026

Revealing wave-wave resonant interactions in ocean wind waves

Davide Maestrini, Giovanni Dematteis, Alvise Benetazzo +1

Ocean wind waves are a fundamental manifestation of complex dynamics in geophysical fluid systems, characterized by a rich interplay between dispersion and nonlinearity. While line…

nlin.CD2025

On the Wave Kinetic Equation in the presence of forcing and dissipation

Davide Maestrini, Daniele Noto, Giovanni Dematteis +1

The wave kinetic equation has become an important tool in different fields of physics. In particular, for surface gravity waves, it is the backbone of wave forecasting models. Its…

nlin.CD2025

Spectral Transfers of Sign-Definite Invariants in Wave Turbulence

Nicholas R. Salvatore, Giovanni Dematteis, Yuri V. Lvov

We consider the spectral transfers of sign-definite invariants in general wave turbulence systems equipped with a wave kinetic equation. We develop a formalism to investigate and t…

nlin.CD2025

Anomalous correlators, negative frequencies and non-phase-invariant Hamiltonians in random waves

Alberto Villois, Giovanni Dematteis, Yuri V. Lvov +2

We investigate a generic non-phase invariant Hamiltonian model that governs the dynamics of nonlinear dispersive waves. We give evidence that initial data characterized by random p…