collaborators

5 papers

math.PR2026

Sharp Rates of MMD Empirical Estimation with Power Kernels

Francesco Colasanto, Matteo Focardi, Massimo Fornasier +1

We establish quantitative rates of convergence for the empirical estimation of probability measures by means of the Maximum Mean Discrepancy (MMD) with power kernel $K_q(x,y) = -|x…

math.AP2026

Homogenisation of phase-field functionals with linear growth

Francesco Colasanto, Matteo Focardi, Caterina Ida Zeppieri

We propose a first rigorous homogenisation procedure in image-segmentation models by analysing the relative impact of (possibly random) fine-scale oscillations and phase-field regu…

math.AP2025

Phase-field modelling of cohesive fracture. Part I: -convergence results

Roberto Alessi, Francesco Colasanto, Matteo Focardi

The main aim of this three-part work is to provide a unified consistent framework for the phase-field modeling of cohesive fracture. In this first paper we establish the mathematic…

math.AP2025

Phase-field modelling of cohesive fracture. Part III: From mathematical results to engineering application

Roberto Alessi, Francesco Colasanto, Matteo Focardi

This paper concludes a three-part effort aimed at developing a consistent and unified framework for the phase-field modeling of cohesive fracture. Building on the theoretical found…

math.AP2025

Phase-field modelling of cohesive fracture. Part II: Reconstruction of the cohesive law

Roberto Alessi, Francesco Colasanto, Matteo Focardi

This is the second paper of a three-part work the main aim of which is to provide a unified consistent framework for the phase-field modelling of cohesive fracture. Building on the…