1 citations · 1 across the 3 of their papers we have counts for
4 papers
Physics Guided Machine Learning for Variational Multiscale Reduced Order Modeling
Shady E. Ahmed, Omer San, Adil Rasheed +2
We propose a new physics guided machine learning (PGML) paradigm that leverages the variational multiscale (VMS) framework and available data to dramatically increase the accuracy…
Modeling of Asymptotically Periodic Outbreaks: a long-term SIRW2 description of COVID-19?
Alex Viguerie, Margherita Carletti, Alessandro Veneziani +1
As the outbreak of COVID-19 enters its third year, we have now enough data to analyse the behavior of the pandemic with mathematical models over a long period of time. The pandemic…
Simulating the spread of COVID-19 via spatially-resolved susceptible-exposed-infected-recovered-deceased (SEIRD) model with heterogeneous diffusion
Alex Viguerie, Guillermo Lorenzo, Ferdinando Auricchio +6
We present an early version of a Susceptible-Exposed-Infected-Recovered-Deceased (SEIRD) mathematical model based on partial differential equations coupled with a heterogeneous dif…
Patient-Specific 3D Volumetric Reconstruction of Bioresorbable Stents: A Method to Generate 3D Geometries for Computational Analysis of Coronaries Treated with Bioresorbable Stents
Boyi Yang, Marina Piccinelli, Gaetano Esposito +6
As experts continue to debate the optimal surgery practice for coronary disease - percutaneous coronary intervention (PCI) or coronary aortic bypass graft (CABG) - computational to…