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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dealiiX Seminar Highlights: Efficient Matrix-Free Finite Element Solvers with deal.II
Last week, the dealiiX seminar series hosted an insightful session titled “Efficient Finite Element solvers with the matrix-free infrastructure of deal.II”, delivered by Prof. Martin
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New preprint: Augmented Lagrangian preconditioners for elliptic interface problems
Our colleagues at the University of Pisa have released a new preprint advancing work on augmented Lagrangian (AL) preconditioners for fictitious domain methods, building on their previous
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dealiiX at HiPEAC 2026: Advancing Scientific Applications for the Exascale Era
Prof. Martin Kronbichler represented the #dealiiX project at the HiPEAC Conference in Kraków, contributing both with a presentation of project activities and a panel discussion
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dealiiX at Mechano-X Workshop 2026: Advancing Computational Mechanobiology Through International Collaboration
January 2026 Consortium partners from the Università degli Studi di Brescia, Prof. Alberto Salvadori, Mattia Serpelloni, and R. M. McMeeking, represented the dealiiX project at
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Digital Twins of the Human Body: A Successful dealiiX Research School in Trieste
Trieste, SISSA | 2 days of learning, exchange, and hands-on science The Research School “Digital Twins of the Human Body”, held at SISSA in Trieste,
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VPH Unveils Its New Vision for the Future of In Silico Medicine
Our partner VPH – now officially rebranded as VPH: The Society for In Silico Medicine – has launched an ambitious new vision to guide the
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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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