In satellite space missions, the ability to extract information from sensor data is crucial to monitor the operational status of the satellite, to predict future
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Author: nicoparo
MULTISCALE MODELS IN ACTION
Geometrical multiscale models have been subject of investigation by MOX researcher since many years. Today, the focus is on multiscale problems characterized by the strong
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Modelling fault reactivation
Researchers in the Computational Geosciences group at the MOX Laboratory (https://mox.polimi.it/) have been working for the last 6 years on the problem of induced seismicity
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Mathematics at the service of the heart
iHEART, that is “an integrated heart model for the simulation of the cardiac function”, is an attempt to create a complete mathematical model of the
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A space adventure for MOX
The MOX Laboratory (https://mox.polimi.it/) is participating in a Joint Programme between Politecnico di Milano and ASI (Italian Space Agency) (www.asi.it) covering different aspects of space
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Object-Oriented Spatial Statistics for the geosciences
The advent of modern technologies for data acquisition is leading to data-rich industrial and environmental contexts. Not only large datasets, but most often complex types
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Functional and Object-oriented Data Analysis for Mobility
Statisticians are currently asked to develop tools to analyze extremely complex data often far from the standard Euclidean framework (e.g., curves, networks, compositions, images, tensors).
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ESCAPE-2: a Future and Emerging Technologies HPC project
MOX researchers Luca Bonaventura and Tommaso Benacchio are involved in the H2020, Future and Emerging Technologies HPC project ESCAPE-2. This project will develop world-class, extreme-scale
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Simpaty: topology optimization for free-form design
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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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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