Model Reduction and Surrogate Modeling (MORE)

19-23 Sep 2022 Berlin (Germany)

Berlin panorama A_Peach, CC BY 2.0, via Wikimedia Commons

A machine learning-based reduced order model for the investigation of the haemodynamics in coronary artery bypass grafts
Pierfrancesco Siena  1, @  , Caterina Balzotti  1  , Michele Girfoglio  1  , Annalisa Quaini  2  , Gianluigi Rozza  1  
1 : SISSA
2 : University of Houston
Subject : : poster
Topics : Machine learning/deep learning and model order reduction
Topics : Poster Blitz
PDF version :  PDF version
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