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New MOX Report on “Hierarchical Multiscale Modeling of Positive Corona Discharges”

A new MOX Report entitled “Hierarchical Multiscale Modeling of Positive Corona Discharges” by Caliò, G.; Ragazzi, F.; Popoli, A.; Cristofolini, A.; Valdettaro, L; De Falco, C.; Barbante, F. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/45-2025.pdf Abstract: In the field of corona discharges, the complex chemical […]

New MOX Report on “Real-time optimal control of high-dimensional parametrized systems by deep-learning based reduced order models”

A new MOX Report entitled “Real-time optimal control of high-dimensional parametrized systems by deep-learning based reduced order models” by Tomasetto, M.; Manzoni, A.; Braghin, F. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/43-2025.pdf Abstract: Steering a system towards a desired target in a very short amount […]

New MOX Report on “Handling geometrical variability in nonlinear reduced order modeling through Continuous Geometry-Aware DL-ROM”

A new MOX Report entitled “Handling geometrical variability in nonlinear reduced order modeling through Continuous Geometry-Aware DL-ROM” 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/44-2025.pdf Abstract: Deep Learning-based Reduced Order Models (DL-ROMs) constitute a consolidated class of techniques that […]

New MOX Report on “Active digital twins via active inference”

A new MOX Report entitled “Active digital twins via active inference” by Torzoni, M.; Maisto, D.; Manzoni, A.; Donnarumma, F.; Pezzulo, G.; Corigliano, A. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/41-2025.pdf Abstract: Digital twins are transforming engineering and applied sciences by enabling real-time monitoring, simulation, […]

New MOX Report on “Deep orthogonal decomposition: a continuously adaptive neural network approach to model order reduction of parametrized partial differential equations”

A new MOX Report entitled “Deep orthogonal decomposition: a continuously adaptive neural network approach to model order reduction of parametrized partial differential equations” by Franco, N. R.; Manzoni, A.; Zunino, P.; Hesthaven, J. S. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/42-2025.pdf Abstract: Wedevelop a novel […]

New MOX Report on “Clinical and Genomic-Based Decision Support System to Define the Optimal Timing of Allogeneic Hematopoietic Stem-Cell Transplantation in Patients With Myelodysplastic Syndromes”

A new MOX Report entitled “Clinical and Genomic-Based Decision Support System to Define the Optimal Timing of Allogeneic Hematopoietic Stem-Cell Transplantation in Patients With Myelodysplastic Syndromes” by Tentori, C.A.; Gregorio, C.; …; Ieva, F.; Della Porta, M.G. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/40-2025.pdf Abstract: […]

New MOX Report on “Causal effect of chemotherapy received dose intensity on survival outcome: a retrospective study in osteosarcoma”

A new MOX Report entitled “Causal effect of chemotherapy received dose intensity on survival outcome: a retrospective study in osteosarcoma” by Spreafico, M.; Ieva, F.; Fiocco, M. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/37-2025.pdf Abstract: Background This study aims to analyse the effects of reducing […]

New MOX Report on “Coupling models of resistive valves to muscle mechanics in cardiac fluid-structure interaction simulations”

A new MOX Report entitled “Coupling models of resistive valves to muscle mechanics in cardiac fluid-structure interaction simulations” by Bucelli, M.; Dede’, L. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/34-2025.pdf Abstract: To accurately simulate all phases of the cardiac cycle, computational models of hemodynamics in […]

New MOX Report on “Anisotropic recovery-based error estimators and mesh adaptation for real-life engineering innovation”

A new MOX Report entitled “Anisotropic recovery-based error estimators and mesh adaptation for real-life engineering innovation” by Perotto, S.; Ferro, N.; Speroni, G.; Temellini, E. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/35-2025.pdf Abstract: This chapter presents an overview of anisotropic mesh adaptation techniques driven by […]