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Simone Deparis

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Simone Deparis

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SPACE-TIME REDUCED BASIS METHODS FOR PARAMETRIZED UNSTEADY STOKES EQUATIONS

DeepBND: A machine learning approach to enhance multiscale solid mechanics

PDE-Aware Deep Learning for Inverse Problems in Cardiac Electrophysiology

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

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

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

Analysis of morphological and hemodynamical indexes in abdominal aortic aneurysms as preliminary indicators of intraluminal thrombus deposition

Implementation and Calibration of a Deep Neural Network to Predict Parameters of Left Ventricular Systolic Function Based on Pulmonary and Systemic Arterial Pressure Signals

Coupling non-conforming discretizations of PDEs by spectral approximation of the Lagrange multiplier space

Multi space reduced basis preconditioners for parametrized Stokes equations