Project
AA5-10
Robust Data-Driven Reduced-Order Models for Cardiovascular Imaging of Turbulent Flows
Project Heads
Alfonso Caiazzo, Jia-Jie Zhu, Leonid Goubergrits
Project Members
N.N.
Project Duration
01.01.2024 − 31.12.2025
Located at
WIAS
Description
This project aims at supporting cardiovascular imaging with new robust data assimilation methods for turbulent blood flows, combining reduced-order modeling, active learning, and in silico data obtained from simulations on real and digital patient geometries.
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