Predicting the viscosity of multi-walled carbon nanotubes/water nanofluid by developing an optimal artificial neural network based on experimental data

By Masoud Afrand, A. A. Nadooshan, M. Hassani, Hooman Yarmand, Mahidzal Bin Dahari. 2016

137 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/02e57ad3a37b038a65ad9abb5997e1826a4df1bf

Citations in the corpus

• RETRACTED: Synthesis and characterization of additive graphene oxide nanoparticles dispersed in water: Experimental and theoretical viscosity prediction of non‐Newtonian nanofluid (2020, unknown): “The training datasets for the investigated shear rates are illustrated in Figure 19 [41,42].”