SPACE-TIME REDUCED BASIS METHODS FOR PARAMETRIZED UNSTEADY STOKES EQUATIONS

R. Tenderini; N. Mueller; S. Deparis 

DeepBND: A machine learning approach to enhance multiscale solid mechanics

F. Rocha; S. Deparis; P. Antolin; A. Buffa 

The INTERNODES method for applications in contact mechanics and dedicated preconditioning techniques

Y. Voet; G. Anciaux; S. Deparis; P. Gervasio 

PDE-Aware Deep Learning for Inverse Problems in Cardiac Electrophysiology

R. Tenderini; S. Pagani; A. Quarteroni; S. Deparis 

Gender, prior knowledge, and the impact of a flipped linear algebra course for engineers over multiple years

C. Hardebolle; H. Verma; R. Tormey; S. Deparis 

Conservation of Forces and Total Work at the Interface Using the Internodes Method

S. Deparis; P. Gervasio 

Deep Neural Network to Accurately Predict Left Ventricular Systolic Function Under Mechanical Assistance

J. Bonnemain; M. Zeller; L. Pegolotti; S. Deparis; L. Liaudet 

On the preconditioning of the INTERNODES matrix for applications in contact mechanics

Y. Voet 

Model order reduction of flow based on a modular geometrical approximation of blood vessels

L. Pegolotti; M. R. Pfaller; A. L. Marsden; S. Deparis 

Reduction techniques for PDEs built upon Reduced Basis and Domain Decomposition Methods with applications to hemodynamics