Monthly Archives: June 2024

15 posts

New MOX Report on “A practical existence theorem for reduced order models based on convolutional autoencoders”

A new MOX Report entitled “A practical existence theorem for reduced order models based on convolutional autoencoders” by Franco, N.R.; Brugiapaglia, S. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/47-2024.pdf Abstract: In recent years, deep learning has gained increasing popularity in the fields of Partial Differential […]

Agresti Prize 2024 awarded to Prof. Francesca Ieva

The Italian Society of Statistics (SIS) awarded Prof. Francesca Ieva the “Award to Young Scholars for Contributions to Statistical Disciplines”, 2024 edition, with the following motivation: “The prize committee proposed to award the prize for the year 2024 to SIS member Francesca Ieva, whose broad scientific production stands out for its […]

New MOX Report on “Elastic Instability behind Brittle Fracture”

A new MOX Report entitled “Elastic Instability behind Brittle Fracture” by Riccobelli, D.; Ciarletta, P.; Vitale, G.; Maurini, C.; Truskinovsky, L. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/46-2024.pdf Abstract: We argue that nucleation of brittle cracks in initially flawless soft elastic solids is preceded by […]

New MOX Report on “Landslide run-out simulations with depth-averaged models and integration with 3D impact analysis using the Material Point Method”

A new MOX Report entitled “Landslide run-out simulations with depth-averaged models and integration with 3D impact analysis using the Material Point Method” by Fois, M.; Katili M. A.; de Falco C.; Larese A.; Formaggia L. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/42-2024.pdf Abstract: Landslides pose […]

New MOX Report on “Polytopal mesh agglomeration via geometrical deep learning for three-dimensional heterogeneous domains”

A new MOX Report entitled “Polytopal mesh agglomeration via geometrical deep learning for three-dimensional heterogeneous domains” by Antonietti, P.F.; Corti, M., Martinelli, G. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/43-2024.pdf Abstract: Agglomeration techniques are important to reduce the computational costs of numerical simulations and stand […]

New MOX Report on “Numerical validation of an adaptive model for the determination of nonlinear-flow regions in highly heterogeneos porous media”

A new MOX Report entitled “Numerical validation of an adaptive model for the determination of nonlinear-flow regions in highly heterogeneos porous media” by Fumagalli, A.; Patacchini, F. S. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/45-2024.pdf Abstract: An adaptive model for the description of flows in […]

New MOX Report on “Discontinuous Galerkin method for a three-dimensional coupled fluid-poroelastic model with applications to brain fluid mechanics”

A new MOX Report entitled “Discontinuous Galerkin method for a three-dimensional coupled fluid-poroelastic model with applications to brain fluid mechanics” by Fumagalli, I. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/44-2024.pdf Abstract: The modeling of the interaction between a poroelastic medium and a fluid in a […]