In the present study, the rheological behavior analysis was conducted on a water-based nanofluid containing reduced graphene oxide nanoparticles. The analysis was performed in the concentration range of 1.0-5.0 {mg/ml} and shear rates of 12.23, 24.46, 36.69, 61.15, 73.38, and 122.3 {s(-1)} at 25-50 degrees C. The FESEM, DLS, and ZP testswere performed to inspect the solid's microstructure, ascertain the size of solid dispersed in the nanofluid, and evaluate the nanofluid stability, respectively. Results showed that the nanofluid corresponds to non-Newtonian behavior. The rGO-Water viscosity values at 25 degrees C, 5.0 {mg/ml}, is 6.90 {mPa.s} for 12.23 {s(-1)} and 2.24 {mPa.s} for 122.3 {s(-1)}. New correlations, including 1.25% and 1.4% maximum deviation for 12.23 and 122.3 {s(-1)} shear rates, were estimated by curve fitting using the 3D-exploratory data to calculate the viscosity of the nanofluid. Finally, an artificial neural network has been developed by R-2 = 0.99 to predict the behavior of nanofluids in other concentrations and temperatures. It can be concluded that RGO can be used as a stable nanofluidwith a durability of more than twomonths. The results verified that this nanofluid is capable to be used in industries since themajor applications of this nanofluid in industries are heat exchangers, solar cells, reactors, etc. (C) 2021 Elsevier B.V. All rights reserved.