A new MOX Report entitled “Active Flow Control for Bluff Body under High Reynolds Number Turbulent Flow Conditions Using Deep Reinforcement Learning” by Chen, J.; Ballini, E.; Micheletti, S. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/107-2024.pdf Abstract: This study employs Deep Reinforcement Learning (DRL) for […]
A new MOX Report entitled “Patient-specific prediction of glioblastoma growth via reduced order modeling and neural networks” by Cerrone, D.; Riccobelli, D.; Vitullo, P.; Ballarin, F.; Falco, J.; Acerbi, F.; Manzoni, A.; Zunino, P.; Ciarletta, P. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/104-2024.pdf Abstract: Glioblastoma […]
A new MOX Report entitled “Reconstructing the system coefficients for coupled harmonic oscillators” by Bartsch, J.; Barakat, A.A.; Buchwald, S.; Ciaramella, G.; Volkwein, S.; Weig, E.M. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/105-2024.pdf Abstract: Physical models often contain unknown functions and relations. In order to […]
A new MOX Report entitled “Coupled Eikonal problems to model cardiac reentries in Purkinje network and myocardium” by Brunati, S.; Bucelli, M.; Piersanti, R.; Dede’, L.; Vergara, C. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/106-2024.pdf Abstract: We propose a novel partitioned scheme based on Eikonal […]
A new MOX Report entitled “Coupled Eikonal problems to model cardiac reentries in Purkinje network and myocardium” by Brunati, S.; Bucelli, M.; Piersanti, R.; Dede’, L.; Vergara, C. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/106-2024.pdf Abstract: We propose a novel partitioned scheme based on Eikonal […]
A new MOX Report entitled “Coupled Eikonal problems to model cardiac reentries in Purkinje network and myocardium” by Brunati, S.; Bucelli, M.; Piersanti, R.; Dede’, L.; Vergara, C. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/106-2024.pdf Abstract: We propose a novel partitioned scheme based on Eikonal […]
Francesco Regazzoni has been awarded a Starting Grant from FIS (the Italian Science Fund) for his proposal titled “SYNERGIZE: Synergizing Numerical Methods and Machine Learning for a new generation of computational models.” The project SYNERGIZE has been awarded over €1.2 million in funding and will span three years, starting in […]
A new MOX Report entitled “A comparative analysis of mesh-based and particle-based numerical methods for landslide run-out simulations” by Fois, M.; Gatti, F.; de Falco, C.; Formaggia, L. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/103-2024.pdf Abstract: Landslides are among the most dangerous natural disasters, with […]
A new MOX Report entitled “On latent dynamics learning in nonlinear reduced order modeling” by Farenga, N.; Fresca, S.; Brivio, S.; Manzoni, A. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/100-2024.pdf Abstract: In this work, we present the novel mathematical framework of latent dynamics models (LDMs) […]
A new MOX Report entitled “Unified discontinuous Galerkin analysis of a thermo/poro-viscoelasticity model” by Bonetti, S.; Corti, M. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/101-2024.pdf Abstract: We present and analyze a discontinuous Galerkin method for the numerical modeling of a Kelvin-Voigt thermo/poro-viscoelastic problem. We present […]