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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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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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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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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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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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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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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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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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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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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