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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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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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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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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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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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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