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 

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 

PDE-Aware Deep Learning for Inverse Problems in Cardiac Electrophysiology

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

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

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

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