NEWS: SIAM Journals Top Three Most Cited Papers
MOX Colloquia: 29-10-2020 Nonintrusive reduced order models using physics informed neural networks
Jan S. Hesthaven
MOX Colloquia: 12-11-2020 Parsimonious structure-exploiting deep neural network surrogates for Bayesian inverse problems
Omar Gatthas
MOX Colloquia: 10-12-2020 Turnpike control and deep learning
Enrique Zuazua
MOX Colloquia: 18-02-2021 Modeling Dementia
Ellen Kuhl
Tuveri, M.; Milani, E.; Marchegiani, G.; Landoni, L.; Torresani, E.; Capelli, P.; Sperandio, N.; D'onofrio, M.; Salvia, R.; Vergara, C.; Bassi, C.
HEMODYNAMICS AND REMODELING OF THE PORTAL CONFLUENCE IN PATIENTS WITH CANCER OF THE PANCREATIC HEAD: A PILOT STUDY
Massi, M. C.; Ieva, F.
Representation Learning Methods for EEG Cross-Subject Channel Selection and Trial Classification
Pozzi, S.; Redaelli, A.; Vergara, C.; Votta, E.; Zunino, P.
Mathematical and numerical modeling of atherosclerotic plaque progression based on fluid-structure interaction
Lupo Pasini, M; Perotto, S.
Hierarchical model reduction driven by a Proper Orthogonal Decomposition for parametrized advection-diffusion-reaction problems
Massi, M.c.; Franco, N.r; Ieva, F.; Manzoni, A.; Paganoni, A.m.; Zunino, P.
High-Order Interaction Learning via Targeted Pattern Search
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iHEART
An Integrated Heart Model for the
simulation of the cardiac function.
The goal of the iHEART [...]
ESCAPE-2 Energy-efficient SCalable Algorithms for weather and climate Prediction at Exascale
ESCAPE-2 will develop world-class, extreme-scale computing capabilities for European operational [...]
Safari njema - Buon viaggio
Bando Polisocial Award 2018
PolyPDEs: Non-conforming polyhedral finite element methods for the approximation of PDEs
The project PolyPDEs aims at developing and analysing a new class of high-order non-conforming [...]
Hierarchical Model Reduction Techniques for Incompressible Fluid Dynamics and Fluid-Structure Interaction Problems
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MISSION
