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New MOX Report on “lymph: discontinuous poLYtopal methods for Multi-PHysics differential problems”

A new MOX Report entitled “lymph: discontinuous poLYtopal methods for Multi-PHysics differential problems” by Antonietti, P.F., Bonetti, S., Botti, M., Corti, M., Fumagalli, I., Mazzieri, I. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/06-2024.pdf Abstract: We present the library lymph for the finite element numerical discretization […]

New MOX Report on “Personalized Computational Electro-mechanics Simulations to Optimize Cardiac Resynchronization Therapy”

A new MOX Report entitled “Personalized Computational Electro-mechanics Simulations to Optimize Cardiac Resynchronization Therapy” by Capuano E.; Regazzoni F.; Maines M.; Fornara S.; Locatelli V.; Catanzariti D.; Stella S.; Nobile F.; Del Greco M.; Vergara C. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/10-2024.pdf Abstract: In […]

MOX Colloquia: Sauro Succi, 25th January 2024

Speaker: Sauro Succi Affiliation: La Sapienza, Harvard University When: Thursday 25th January 2024 Abstract: We present a pedagogical introduction to the current state of quantum computing algorithms for the simulation of classical fluids. Different strategies, such as quantum nonlinear ODE solvers, Carleman-Koopman linearization, functional Liouville formulations and variational quantum eigensolvers, […]

New MOX Report on “A digital twin framework for civil engineering structures”

A new MOX Report entitled “A digital twin framework for civil engineering structures” by Torzoni, M.; Tezzele, M.; Mariani, S.; Manzoni, A.; Willcox, K.E. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/04-2024.pdf Abstract: The digital twin concept represents an appealing opportunity to advance condition-based and predictive […]

New MOX Report on “A gentle introduction to interpolation on the Grassmann manifold”

A new MOX Report entitled “A gentle introduction to interpolation on the Grassmann manifold” by Ciaramella, G.; Gander, M.J.; Vanzan, T. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/03-2024.pdf Abstract: These notes originated from the authors’ effort while studying interpolation techniques on the Grassmann manifold. This […]

New MOX Report on “Structure-preserving neural networks in data-driven rheological models”

A new MOX Report entitled “Structure-preserving neural networks in data-driven rheological models” by Parolini, N.; Poiatti, A.; Vene’, J.; Verani, M. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/02-2024.pdf Abstract: In this paper we address the importance and the impact of employing structure preserving neural networks […]