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Goswami, S.; Li, DS.; Rego, BV.; Latorre, M.; Humphrey, JD.; Karniadakis, GE. (2022). Neural operator learning of heterogeneous mechanobiological insults contributing to aortic aneurysms. Journal of The Royal Society Interface. 19(193):1-16. https://doi.org/10.1098/rsif.2022.0410
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/191443
Título: | Neural operator learning of heterogeneous mechanobiological insults contributing to aortic aneurysms | |
Autor: | Goswami, Somdatta Li, David S. Rego, Bruno V. Humphrey, Jay D. Karniadakis, George Em | |
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[EN] Thoracic aortic aneurysm (TAA) is a localized dilatation of the aorta that can lead to life-threatening dissection or rupture. In vivo assessments of TAA progression are largely limited to measurements of aneurysm ...[+]
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Derechos de uso: | Reconocimiento (by) | |
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Versión del editor: | https://doi.org/10.1098/rsif.2022.0410 | |
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