Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Predictive constitutive modelling of arteries by deep learning
58
Zitationen
4
Autoren
2021
Jahr
Abstract
= 0.97 from microstructural information, as long as one limits the scope to tissue samples whose mechanical properties remain in the range commonly encountered. This finding suggests that deep learning could have a transformative impact on the way we model the constitutive properties of soft biological tissues.
Ähnliche Arbeiten
THE ELECTRODYNAMICS OF SUBSTANCES WITH SIMULTANEOUSLY NEGATIVE VALUES OF $\epsilon$ AND μ
1968 · 11.013 Zit.
The Compressibility of Media under Extreme Pressures
1944 · 8.503 Zit.
Theory Of Elastic Stability
1936 · 7.599 Zit.
A treatise on the mathematical theory of elasticity
1892 · 7.262 Zit.
Numerical Analysis
1978 · 6.791 Zit.