Physics-informed neural network estimation of material properties in soft tissue nonlinear biomechanical models
The development of biophysical models for clinical applications is rapidly advancing in the
research community, thanks to their predictive nature and their ability to assist the …
research community, thanks to their predictive nature and their ability to assist the …
On the latent dimension of deep autoencoders for reduced order modeling of PDEs parametrized by random fields
Deep Learning is having a remarkable impact on the design of Reduced Order Models
(ROMs) for Partial Differential Equations (PDEs), where it is exploited as a powerful tool for …
(ROMs) for Partial Differential Equations (PDEs), where it is exploited as a powerful tool for …