A new MOX Report entitled “A computational model for phenotype-structured tumour dynamics with reduced microvascular oxygen and event-based radiotherapy” by Vitullo, P.; Macaluso, C.; Gazzoni, S.; Cassanmagnago, A.; Dimola, N.; Possenti, L.; Zunino, P. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/79-2026.pdf Abstract: Tumour response to […]
Monthly Archives: October 2026
6 posts
A new MOX Report entitled “Interconnection and Damping Assignment Passivity-Based Control using Sparse Neural ODEs” by Botteghi, N; Brook, O; Fasel, U; Califano, F has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/78-2026.pdf Abstract: Interconnection and Damping Assignment Passivity-Based Control (IDA-PBC) is a nonlinear control technique that […]
A new MOX Report entitled “A Neural-Network Approach for the Stability of Loosely-Coupled FSI Simulations in Hemodynamics” by Renzi, F.; Pagani, S.; Antonietti, P.F.; Vergara, C. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/77-2026.pdf Abstract: The development of accurate and efficient computational methods for fluid-structure interaction […]
A new MOX Report entitled “HypeMARL: Multi-Agent Reinforcement Learning For High-Dimensional, Parametric, and Distributed Systems” by Botteghi, N; Tomasetto, M; Fasel, U; Braghin, F; Manzoni, A has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/75-2026.pdf Abstract: Deep reinforcement learning has recently emerged as a promising feedback control […]
A new MOX Report entitled “Learning PDE solution operators with variable initial conditions via Latent Dynamics Networks” by Pizzamiglio, S.M.; Pagani, S.; Regazzoni, F. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/76-2026.pdf Abstract: In many-query scenarios, data-driven surrogate models provide an efficient alternative to high-fidelity solvers […]