Modellistica e calcolo scientifico

HIGHLIGHTS: MOX Reports

Lupo Pasini, M.; Burcul, M.; Reeve, S.; Eisenbach, M.; Perotto, S.
Fast and accurate predictions of total energy for solid solution alloys with graph convolutional neural networks

Buchwald, S.; Ciaramella, G.; Salomon, J.; Sugny, D.
A greedy reconstruction algorithm for the identification of spin distribution

Stella, S.; Regazzoni, F.; Vergara, C.; Dede', L.; Quarteroni, A.
A fast cardiac electromechanics model coupling the Eikonal and the nonlinear mechanics equations

Rosafalco, L.; Manzoni, A.; Mariani, S.; Corigliano, A.
Fully convolutional networks for structural health monitoring through multivariate time series classification

Tassi, T., Zingaro, A., Dede', L.
Enhancing numerical stabilization methods for advection dominated differential problems by Machine Learning algorithms

HIGHLIGHTS: Industrial and Scientific Projects

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

ESCAPE-2 Energy-efficient SCalable Algorithms for weather and climate Prediction at Exascale
ESCAPE-2 will develop world-class, extreme-scale computing capabilities for European operational [...]

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Bando Polisocial Award 2018

PolyPDEs: Non-conforming polyhedral finite element methods for the approximation of PDEs
The project PolyPDEs aims at developing and analysing a new class of high-order non-conforming [...]

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.