Professors Simona Perotto and Stefano Micheletti, in collaboration with Thales Alenia Space Italia, at MOX Laboratory of Politecnico di Milano have developed a new mathematical
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Category: MOX. Dept. Mathematics, Politecnico Milano
Reduced models for the packaging industry
Model reduction techniques based on either geometrical multi-scale modeling (coupling of differential models operating at different spatial dimensions) or reduced order modeling (e.g. Proper Orthogonal
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Statistical Analysis of High Dimensional & Complex Data
The last years have seen the advent and development of many devices able to record and store an always increasing amount of complex and high
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Modeling subsurface flows
The modelling of subsurface flow in complex heterogeneous and fractured media is relevant for several applications like oil recovery, CO2 sequestration, thermal energy storage, geothermy.
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Numerical methods for the design of rowing boats
The dynamics of competition rowing boats is a complex fluid structure interaction phenomena where the complex dynamics of the rower-boat system interact with free
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Physics-based numerical modeling for seismic risk mitigation
Mathematical and numerical modeling can be used to better understand the physics of earthquakes, improve the design of site-specific structures and facilities, and enhance seismic
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Computational Geomechanics at MOX
The CompGeo group of the MOX Laboratory gathers researchers in numerical analysis and statistics with the purpose of studying the complex coupled problems related to
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An Integrated Heart Model for the simulation of the cardiac function
iHEART – “An Integrated Heart Model for the simulation of the cardiac function” (2017-2022) is a ERC Advanced Grant awarded to Prof. Alfio Quarteroni in
Read moreThe MOX Laboratory
The Modelling and Scientific Computing Laboratory (MOX) is part of the Department of Mathematics of Politecnico di Milano. It was established in 2002 with the
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