A new MOX Report entitled “Error estimates for POD-DL-ROMs: a deep learning framework for reduced order modeling of nonlinear parametrized PDEs enhanced by proper orthogonal decomposition” by Brivio, S.; Franco, Nicola R.; Fresca, S.; Manzoni, A. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/85-2024.pdf Abstract: POD-DL-ROMs […]
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A new MOX Report entitled “On the latent dimension of deep autoencoders for reduced order modeling of PDEs parametrized by random fields” by Franco, N.R.; Fraulin, D.; Manzoni, A.; Zunino, P. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/86-2024.pdf Abstract: Deep Learning is having a remarkable […]
A new MOX Report entitled “Elucidating the cellular determinants of the end-systolic pressure-volume relationship of the heart via computational modelling” by Regazzoni, F.; Poggesi, C.; Ferrantini, C. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/88-2024.pdf Abstract: The left ventricular end-systolic pressure-volume relationship (ESPVr) is a key […]
A new MOX Report entitled “Modeling anisotropy and non-stationarity through physics-informed spatial regression” by Tomasetto, M.; Arnone, E.; Sangalli, L.M. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/90-2024.pdf Abstract: Many spatially dependent phenomena, that are of interest in environmental problems, are characterized by strong anisotropy and […]
A new MOX Report entitled “Solving Semi-Linear Elliptic Optimal Control Problems with L1-Cost via Regularization and RAS-Preconditioned Newton Methods” by Ciaramella, G.; Kartmann, M.; Mueller, G. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/91-2024.pdf Abstract: We present a new parallel computational framework for the efficient solution […]
A new MOX Report entitled “Deep Learning-based surrogate models for parametrized PDEs: handling geometric variability through graph neural networks” by Franco, N.R.; Fresca, S.; Tombari, F.; Manzoni, A. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/94-2024.pdf Abstract: Mesh-based simulations play a key role when modeling complex […]
A new MOX Report entitled “VENI, VINDy, VICI – a variational reduced-order modeling framework with uncertainty quantification” by Conti, P.; Kneifl, J.; Manzoni, A.; Frangi, A.; Fehr, J.; Brunton, S.L.; Kutz, J.N. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/93-2024.pdf Abstract: The simulation of many complex […]
We are pleased to announce the successful conclusion of the Mathematics for Our Health workshop, held on 7–8 November at the Politecnico di Milano. With around 150 participants and 50 research posters, the event highlighted the transformative role of mathematics in healthcare and life sciences. The workshop was part of […]
A new MOX Report entitled “Numerical Solution of linear drift-diffusion and pure drift equations on one-dimensional graphs” by Crippa, B.; Scotti, A.; Villa, A has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/80-2024.pdf Abstract: We propose numerical schemes for the approximate solution of problems defined on the […]
A new MOX Report entitled “Portable, Massively Parallel Implementation of a Material Point Method for Compressible Flows” by Baioni, P.J.; Benacchio, T.; Capone, L.; de Falco, C. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/79-2024.pdf Abstract: The recent evolution of software and hardware technologies is leading […]