Digital Twins
This project aims at developing accurate, real-time, patient-specific biomechanical models for organs. These deformable models will be based on optimal choice of material constitutive laws, patient-specific surface and volumetric anatomy meshes, and advanced...
ΙΈ-FEM
For several of years, our research has focused on finite element methods that fall under the class of unfitted (also known as immersed boundary) methods. Such methods are particularly suited to the development of digital twins, as they facilitate the automatic...
Physic-based Neural Networks
A number of techniques have been put forth with the aim of accelerating the simulations of non-linear solids. These techniques remain essentially linear transformations that may, in some cases, be insufficient for accurately capturing the non-linear characteristics...