A numerical study finds that a Casson-Maxwell nanofluid model predicts slower flow and altered heat transfer in a stenosed artery, with a neural network fitting the heat transfer rate to R=0.99457.
Title resolution pending
1 Pith paper cite this work, alongside 3 external citations. Polarity classification is still indexing.
1
Pith paper citing it
3
external citations · OpenAlex
citation-role summary
background 1
citation-polarity summary
fields
physics.med-ph 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Magneto-radiative modelling and artificial neural network optimization of biofluid flow in a stenosed arterial domain
A numerical study finds that a Casson-Maxwell nanofluid model predicts slower flow and altered heat transfer in a stenosed artery, with a neural network fitting the heat transfer rate to R=0.99457.