Author

G. Dimarco

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Preprint Sep 2026

A relaxation system for the low-Mach limit of kinetic equations: Stability and higher order asymptotic preserving scheme

This work introduces a hyperbolic relaxation system designed for the simulation of kinetic equations in the low-Mach number limit. The methodology is built upon a micro-macro decomposition of the scaled BGK model, which reformulates the kinetic distribution function into a coupled system consisting of a macroscopic equ...

G. Dimarco, Axel Klar, Theresa Kofler et al. · 0 citations

Preprint Aug 2026

Control variates with neural surrogates for uncertainty quantification in kinetic equations

This work analyzes the case in which the reduced model is replaced by a neural surrogate rather than evaluated through a classical numerical scheme and shows that the resulting estimator remains unbiased and that the change in the optimal variance induced by the neural approximation is controlled by the error between t...

Wei Chen, G. Dimarco, L. Pareschi · 0 citations