The paper “A comprehensive and biophysically detailed computational model of the whole human heart electromechanics” authored by M. Fedele, R. Piersanti, F. Regazzoni, M. Salvador, P. C. Africa, M. Bucelli, A. Zingaro, L. Dede, and A. Quarteroni has been recognized with the prestigious Oden-Hughes Award for the best paper published for the years 2022-2023 in the esteemed journal Computer Methods in Applied Mechanics and Engineering!
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The paper “Learning the intrinsic dynamics of spatio-temporal processes through Latent Dynamics Networks,” signed by Francesco Regazzoni, Stefano Pagani, Matteo Salvador, Luca […]
2 MOX researches received funding within the 2022 PRIN PNNR call. Warmest congratulations to: Francesco Regazzoni – National CoordinatorSimona Perotto – Local Unit Coordinator
Andrea Manzoni has been awarded a FIS Starting Grant for his proposal on Deep Learning for the real-time approximation of partial differential […]