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 Decomposition or Reduced Basis) have proved very successful for the simulation of complex integrated systems, such as the human cardiovascular system. The long-lasting experience at […]

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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 dimensional data: 3D images generated by medical scanners, satellite remote sensing, system control datasets, administrative databases, mobile phone data, etc. The analysis of these complex […]

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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. In the compgeo activity group of the MOX Laboratory we have investigated various numerical techniques to tackle this complex phenomena: eXtended finite elements, mimetic finite […]

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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 surface flow. Energy is dissipated non only by viscous and wave drag forces but also by the surface waves radiated  from the boat because of […]

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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 risk maps. The reliability of existing tools for earthquake and ground-motion prediction, i.e. Ground Motion Prediction Equations (GMPEs), which are based on empirical relations involving […]

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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 flow and deformation in the subsurface at different time and space scales, with a focus on energy and risk assessment. Fault reactivation We are investigating […]

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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 the framework of the “H2020 – Excellent Science – European Research Council” program. Mathematician Alfio Quarteroni and his research team at MOX-Politecnico di Milano (Italy) […]

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The 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 objective of promoting research in the field of mathematical modelling, numerical analysis, scientific computing and statistical analysis, with a special focus on real life applications […]

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