Monthly Archives: April 2024

7 posts

New MOX Report on “Stability, convergence, and pressure-robustness of numerical schemes for incompressible flows with hybrid velocity and pressure”

A new MOX Report entitled “Stability, convergence, and pressure-robustness of numerical schemes for incompressible flows with hybrid velocity and pressure” by Botti, L.; Botti, M.; Di Pietro, D.A.; Massa; F.C. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/35-2024.pdf Abstract: In this work we study the stability, […]

New MOX Report on “Exploring tau protein and amyloid-beta propagation: a sensitivity analysis of mathematical models based on biological data”

A new MOX Report entitled “Exploring tau protein and amyloid-beta propagation: a sensitivity analysis of mathematical models based on biological data” by Corti, M. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/34-2024.pdf Abstract: Alzheimer’s disease is the most common dementia worldwide. Its pathological development is well […]

New MOX Report on “A NLP-based semi-automatic identification system for delays in follow-up examinations: an Italian case study on clinical referrals”

A new MOX Report entitled “A NLP-based semi-automatic identification system for delays in follow-up examinations: an Italian case study on clinical referrals” by Torri, V.; Ercolanoni, M.; Bortolan, F.; Leoni, O.; Ieva, F. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/36-2024.pdf Abstract: Background: This study aims […]

New MOX Report on “Learning epidemic trajectories through Kernel Operator Learning: from modelling to optimal control”

A new MOX Report entitled “Learning epidemic trajectories through Kernel Operator Learning: from modelling to optimal control” by Ziarelli, G.; Parolini, N.; Verani, M. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/32-2024.pdf Abstract: Since infectious pathogens start spreading into a susceptible population, mathematical models can provide […]

FIS Starting Grant awarded to Andrea Manzoni

Andrea Manzoni has been awarded a FIS Starting Grant for his proposal on Deep Learning for the real-time approximation of partial differential equations (DREAM). Launched with a first call in 2021, the Italian Science Fund (FIS) aims at promoting the development of fundamental research on the model of ERC – […]