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 interaction between a tubular geometry and the surrounding bulk. This type of interaction characterize problems in various field ranging from the blood perfusion of biological […]

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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 to understand if and how human activities could have an impact on fault reactivation, and, thus, be the co cause of small-to-moderate earthquakes. This requires […]

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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 human heart, which includes the electrical, mechanical and fluid-dynamic processes from the cell scale to the organ scale. The project has been funded with an […]

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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 technologies. In particular, the involvement of the Laboratory focuses on the development of integrated physical and statistical models for the analysis of satellite data. The objective […]

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PhD Position in Numerical Methods and HPC Thechniques for Molecular Electrostatics

One PhD Position on the topic “Numerical Methods and HPC Thechniques for Molecular Electrostatics” Is available at MOX -Politecnico di Milano and IIT Genova. The PhD program envisions a period of training of one year at maximum to be spent at the Polytechnic of Milan and the remaining period of at […]

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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 of data, such as curves, images or tensors, are routinely collected in data-driven engineering applications, posing new challenges for geo-scientists. In recent years, the Statistics […]

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PhD Opportunities at MOX

Applications are now open for the PhD program in Mathematical Models and Methods in Engineering hosted at the Department of Mathematics of Politecnico di Milano. Interested students can find more information about the general PhD program here and the application procedure here Deadline for applications is by 2pm on 21 […]

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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). The Statistics group at MOX proposes a paradigm of statistical investigation based on the idea of developing sound approaches to data analysis able to provide […]

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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 computing capabilities for European operational numerical weather and climate prediction systems. It continues the pioneering work of the ESCAPE project. The project aims to attack […]

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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 algorithm, named Simpaty, that can be employed in a finite element setting for the topology optimization of mechanical components. The resulting configurations are characterized by […]

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