On 23 March 2026, approximately 100 students from the Applied Mathematics and Physics programme at NTNU visited the MOX Laboratory of the Department of Mathematics as part of their Student Excursion programme. A sincere expression of gratitude is extended to Politecnico di Milano for its support and for the trust […]
Monthly Archives: March 2026
8 posts
A new MOX Report entitled “Mathematical and numerical modeling of coupled oxygen dynamics and neuronal electrophysiology” by Daniele, F.; Leimer Saglio, C. B.; Pagani, S.; Antonietti, P. F. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/28-2026.pdf Abstract: Modeling and simulating how oxygen supply shapes neuronal excitability […]
A new MOX Report entitled “Mathematical and numerical modeling of coupled oxygen dynamics and neuronal electrophysiology” by Daniele, F.; Leimer Saglio, C. B.; Pagani, S.; Antonietti, P. F. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/28-2026.pdf Abstract: Modeling and simulating how oxygen supply shapes neuronal excitability […]
A new MOX Report entitled “A hybrid reduced-order and high-fidelity discontinuous Galerkin Spectral Element framework for large-scale PMUT array simulations” by Antonietti, P. F.; Abdalla, O. M. O.; Garroni, M. G.; Mazzieri, I.; Parolini, N. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/27-2026.pdf Abstract: Piezoelectric Micromachined […]
A new MOX Report entitled “Elimination-compensation pruning for fully-connected neural networks” by Ballini, E.; Muscarnera, L.; Fumagalli, A.; Scotti, A.; Regazzoni, F. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/23-2026.pdf Abstract: The unmatched ability of deep neural networks to capture complex patterns in large and noisy […]
A new MOX Report entitled “Learning geometry-dependent lead-field operators for forward ECG modeling” by Dokuchaev, A.; Bonizzoni, F.; Pagani, S.; Regazzoni, F.; Pezzuto, S. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/26-2026.pdf Abstract: Modern forward electrocardiogram (ECG) computational models rely on an accurate representation of the […]
A new MOX Report entitled “Neural Markov chain Monte Carlo: Bayesian inversion via normalizing flows and variational autoencoders” by Bottacini, G.; Torzoni, M.; Manzoni, A. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/21-2026.pdf Abstract: This paper introduces a Bayesian framework that combines Markov chain Monte Carlo […]