Exascale Framework for Digital Twins of the Human Body
dealiiX 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.
Recent NEWS
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Two Days of Numerical Linear Algebra and Applications at University of Pisa
The first event co-funded by dealii-X is the 20th workshop in a series dedicated to Numerical Linear Algebra and Applications. It aims at gathering the…
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Announcing the Launch of the dealii-X Center of Excellence
We are thrilled to announce the establishment of the dealii-X Center of Excellence, a pioneering initiative set to revolutionize personalized medicine through the power of…
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Version 9.6.0 released
deal.II version 9.6.0 was released today. A full list of changes can be found here and a long description of changes is in the manuscript here. Download links…
Explore More!
Use case
Simulation of airflow in the human lung
Simulation of airflow in the human lung coupled to gas exchange processes through fully resolved coupled Navier-Stokes / poromechanics models for capturing pathologies at full scale.
Use case
Digital Twin of the human liver
Development of a digital twin of the human liver through multiscale representations of the vascular structure by effective biomechanical properties to enable data-driven enhanced personalization.
Use case
Simulation of brain tissue mechanics
Simulation of brain tissue mechanics through refined nonlinear routines for inverse parameter identification and related problems in the study of physiological and pathological scenarios.
Use case
Simulation in cardiac computational medicine
Simulation in cardiac computational medicine by multiscale and multiphysics models with extreme spatial and temporal resolution to gain novel insights.
Lighthouse applications representing crucial processes in the human brain, the cardiovascular and respiratory systems as well as the liver will be tackled to gain new insights into biological processes of the human body and aiding in personalized medicine.
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