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Towards Reduced Order Models via Robust Proper Orthogonal Decomposition to capture personalised aortic haemodynamics
Data driven, reduced order modelling has shown promise in tackling the challenges associated with computational and experimental haemodynamic models. In this work, we focus on the use of Reduced Order Models (ROMs) to reconstruct velocity fields in a patient-specific dissected aorta, with the object...
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| Опубликовано в: : | J Biomech |
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| Главные авторы: | , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2023
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7615718/ https://ncbi.nlm.nih.gov/pubmed/37657234 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jbiomech.2023.111759 |
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