A new MOX Report entitled “PDE-regularised spatial quantile regression” by Castiglione, C.; Arnone, E.; Bernardi, M.; Farcomeni, A.; Sangalli, L.M. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/98-2024.pdf Abstract: We consider the problem of estimating the conditional quantiles of an unknown distribution from data gathered on […]
MOX_report
128 posts
A new MOX Report entitled “Neural networks based surrogate modeling for efficient uncertainty quantification and calibration of MEMS accelerometers” by Zacchei, F.; Rizzini, F.; Gattere, G.; Frangi, A.; Manzoni, A. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/95-2024.pdf Abstract: This paper addresses the computational challenges inherent […]
A new MOX Report entitled “PTPI-DL-ROMs: Pre-trained physics-informed deep learning-based reduced order models for nonlinear parametrized PDEs” by Brivio, S.; Fresca, S.; Manzoni, A. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/96-2024.pdf Abstract: Among several recently proposed data-driven Reduced Order Models (ROMs), the coupling of Proper […]
A new MOX Report entitled “Designing novel vascular stents with enhanced mechanical behavior through topology optimization of existing devices” by Ferro, N.; Mezzadri, F.; Carbonaro, D.; Galligani, E.; Gallo, D.; Morbiducci, U.; Chiastra, C.; Perotto, S. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/97-2024.pdf Abstract: A […]
A new MOX Report entitled “Multi-fidelity reduced-order surrogate modelling” by Conti, P.; Guo, M.; Manzoni, A.; Frangi, A.; 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/83-2024.pdf Abstract: High-fidelity numerical simulations of partial differential equations (PDEs) given a restricted computational budget can […]
A new MOX Report entitled “EKF-SINDy: Empowering the extended Kalman filter with sparse identification of nonlinear dynamics” by Rosafalco, L.; Conti, P.; Manzoni, A.; Mariani, S.; Frangi, A. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/82-2024.pdf Abstract: Measured data from a dynamical system can be assimilated […]
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 […]
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 […]