Modellistica e calcolo scientifico

HIGHLIGHTS: MOX Reports

Antonietti, P.F.; Scacchi, S.; Vacca, G.; Verani, M.
$C^1$-VEM for some variants of the Cahn-Hilliard equation: a numerical exploration

Giacomini, M.; Perotto, S.
Anisotropic mesh adaptation for region-based segmentation accounting for image spatial information

Gavazzoni, M.; Ferro, N.; Perotto, S.; Foletti, S.
Multi-physics inverse homogenization for the design of innovative cellular materials: application to thermo-mechanical problems

Di Gregorio, S.; Vergara, C.; Montino Pelagi, G.; Baggiano, A.; Zunino, P.; Guglielmo, M.; Fusini, L.; Muscogiuri, G.; Rossi, A.; Rabbat, M.G.; Quarteroni, A.; Pontone, G.
Prediction of myocardial blood flow under stress conditions by means of a computational model

Antonietti, P.F.; Berrone, S.; Busetto, M.; Verani, M.
Agglomeration-based geometric multigrid schemes for the Virtual Element Method

HIGHLIGHTS: Industrial and Scientific Projects

Advanced polyhedral discretisations of heterogeneous PDEs for multiphysics problems


Advanced polyhedral discretisations of heterogeneous PDEs for multiphysics problems


Mathematical and numrical modelling of the extrusion process


iHEART
An Integrated Heart Model for the simulation of the cardiac function. The goal of the iHEART [...]

EpiMOX
A new tool for the analysis of COVID-19 data pandemic in Italy

Mission

MOX has been established in 2002, with the scope of promoting research in the field of mathematical modelling and scientific computing in Science and Engineering, cooperating with external partners on funded research projects, and strengthening cooperation with other research groups at Politecnico di Milano.
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Since then it has evolved in a complex and dynamic structure, with a lively exchange of high quality staff between other universities and industries, and with an excellent scientific production testified by numerous scientific publications.
MOX has a large activity in dissemination and technology transfer, and takes an active part in the education system of the Politecnico di Milano, being particularly involved in the Mathematical Engineering course of study at Degree, Master and PhD level.