Simone Brivio

PhD Student (M3E)

Contact Information

Phone:
+39 02 2399
Fax:
+39 02 2399
Email:

Keywords

Computational learning
Advanced Numerical Methods for Scientific Computing
Living Systems and Precision Medicine

Available MOX Reports

FARENGA, N.; FRESCA, S.; BRIVIO, S.; MANZONI, A.
On latent dynamics learning in nonlinear reduced order modeling
BRIVIO, S.; FRESCA, S.; MANZONI, A.
PTPI-DL-ROMs: Pre-trained physics-informed deep learning-based reduced order models for nonlinear parametrized PDEs
BRIVIO, S.; FRANCO, NICOLA R.; FRESCA, S.; MANZONI, A.
Error estimates for POD-DL-ROMs: a deep learning framework for reduced order modeling of nonlinear parametrized PDEs enhanced by proper orthogonal decomposition
VACCARO, F.; MAURI, A.G.; PEROTTO, S.; BRIVIO, S.; SPIGA, S.
Modeling and simulation of electrochemical and surface diffusion effects in filamentary cation-based resistive memory devices
VACCARO, F.; BRIVIO, S.; PEROTTO, S.; MAURI, A.G.; SPIGA, S.
Physics-based Compact Modelling of the Analog Dynamics of HfOx Resistive Memories