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Autor:
Chotirawee Chatpattanasiri, Gaia Franzetti, Mirko Bonfanti, Vanessa Diaz-Zuccarini, Stavroula Balabani
Data driven, reduced order modelling has shown promise in tackling the challenges associated with computational and experimental hemodynamic models. In this work, we explore the use of Reduced Order Models (ROMs) to capture the main flow features in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95b96567fdc19a654068462a50d97a99
https://doi.org/10.1101/2023.01.21.524933
https://doi.org/10.1101/2023.01.21.524933