dealii-X: an Exascale Framework for Digital Twins of the Human Body

Digital, Industry & SpaceHORIZON-JU-RIAID: 101172493
EC Contribution
€19,699
Consortium Size
16 orgs
Start Year
2024
Summary

"dealii-X: an Exascale Framework for Digital Twins of the Human Body"" is a pioneering project aimed at developing a scalable, high-performance computational platform using the deal.II library to create accurate digital twins of human organs, with emphasis on the human brain. This framework will leverage exascale computing capabilities and existing lighthouse applications to simulate complex biological processes in real-time, aiding in personalized medicine and advancing the diagnosis and treatment strategies of neurological disorders. The computational complexity to solve the underlying mathematical models has previously prevented the simulation knowledge from being translated into clinical practice. By integrating cutting-edge HPC technologies with multiphysics and multidisciplinary approaches, dealii-X will deliver unprecedented computational efficiency and fidelity in biological modeling. The project represents a significant leap toward the future of medical diagnostics and treatment planning, offering a robust tool for researchers and clinicians alike.""

Consortium (16)

Project Results (6)

Source: CORDIS, the EU research results database.

Publications (6)
A Novel Implementation of Hermite Finite Element Methods in the deal.II Library
ACM Transactions on Mathematical Software· 2026
Ivy Weber, Martin Kronbichler, Gunilla Kreiss
alii-X: Enabling new discoveries in biomechanical research by highly accurate digital twins
News Innovation Network· 2026
Martin Kronbichler, Silvia Budday, Luca Dede', Alberto Salvadori, Wolfgang A. Wall
Stage-Parallel Implicit Runge–Kutta Methods Via Low-Rank Matrix Equation Corrections
Journal of Scientific Computing· 2026
Fabio Durastante; Mariarosa Mazza
A reduced 3D-0D fluid–structure interaction model of the aortic valve that includes leaflet curvature
Biomechanics and Modeling in Mechanobiology· 2025
Fumagalli, Ivan; Dede’, Luca; Quarteroni, Alfio
Coupling Models of Resistive Valves to Muscle Mechanics in Cardiac Fluid–Structure Interaction Simulations
International Journal for Numerical Methods in Biomedical Engineering· 2025
Michele Bucelli, Luca Dede
Journal of Computational Physics
Journal of Computational Physics· 2025
Feder, Marco; Cangiani, Andrea; Heltai, Luca