Deep-HyROMnet: A Deep Learning-Based Operator Approximation for Hyper-Reduction of Nonlinear Parametrized PDEs L Cicci, S Fresca, A Manzoni Journal of Scientific Computing 93 (57), 2022 | 29 | 2022 |
Efficient approximation of cardiac mechanics through reduced-order modeling with deep learning-based operator approximation L Cicci, S Fresca, A Manzoni, A Quarteroni International Journal for Numerical Methods in Biomedical Engineering 40 (1), 2023 | 15 | 2023 |
Uncertainty quantification for nonlinear solid mechanics using reduced order models with Gaussian process regression L Cicci, S Fresca, M Guo, A Manzoni, P Zunino Computers and Mathematics with Applications 149, 1-23, 2023 | 11 | 2023 |
Projection-based reduced order models for parameterized nonlinear time-dependent problems arising in cardiac mechanics L Cicci, S Fresca, S Pagani, A Manzoni, A Quarteroni Mathematics in Engineering 5 (2), 1-38, 2023 | 9 | 2023 |
Sensitivity analysis of a multi‐physics model for the vascular microenvironment P Vitullo, L Cicci, L Possenti, A Coclite, ML Costantino, P Zunino International journal for numerical methods in biomedical engineering 39 (11 …, 2023 | 8 | 2023 |
Reduced order modeling of the cardiac function across the scales L Cicci, S Fresca, E Zappon, S Pagani, F Regazzoni, A Manzoni, ... Reduced Order Models for the Biomechanics of Living Organs, 403-433, 2023 | 2 | 2023 |
Efficient reduced order modeling for nonlinear parameterized problems in elastodynamics: application to cardiac mechanics L Cicci | 1 | 2021 |
A deep learning-based operator approximation for model order reduction in structural mechanics L Cicci, S Fresca, A Manzoni, A Quarteroni PROCEEDINGS OF SIMAI 2020+ 21, 2021 | | 2021 |