Computational assesment of Carreau ternary hybrid nanofluid influenced by MHD flow for entropy generation

•The current study explores the two-dimensional flow of the Carreau-ternary hybrid nanoliquid with a magnetic field over the stretching surface.•The heat transport mechanism is deliberated through the applications of thermal radiation and heat source/sink effects.•The entropy minimization of the flow of Carreau ternary hybrid nanofluid has also been scrutinized. Further, the concepts of convective conditions are employed for the numerical solution of the existing model.•In the present flow analysis, silver (Ag), Molybdenum disulfide (MoS2), and multi-wall carbon nanotube (MWCNT) nanoparticles are studied. Carboxymethyl cellulose (CMC-water) is used as a base liquid.•The well-established numerical collocation finite difference scheme and three-stage Lobatto III as the built-in function of the bvp4c solver via MATLAB have been used to solve the system of equations in the form of concentration, energy, and momentum. Numerous features, such as flow speed, temperature, drag friction, and Nusselt number, are described in figures and tables. Tri-hybrid nano-particles in shear rate-dependent viscous fluid are essential for improving heat and mass transmission in many industries. The current study explores the two-dimensional flow of the Carreau-ternary hybrid nanoliquid with a magnetic field over the stretching surface. The heat transport mechanism is deliberated through the applications of thermal radiation and heat source/sink effects. The entropy minimization of the flow of Carreau ternary hybrid nanofluid has also been scrutinized. Further, the concepts of convective conditions are employed for the numerical solution of the existing model. In the present flow analysis, silver (Ag), Molybdenum disulfide (MoS2), and multi-wall carbon nanotube (MWCNT) nanoparticles are studied. Carboxymethyl cellulose (CMC-water) is used as a base liquid. The well-established numerical collocation finite difference scheme and three-stage Lobatto III as the built-in function of the bvp4c solver via MATLAB have been used to solve the system of equations in the form of concentration, energy, and momentum. Numerous features, such as flow speed, temperature, drag friction, and Nusselt number, are described in figures and tables. From the existing model, some key outcomes are that the rising values of the radiation parameter increased the heat transfer rates. Further, it is dissected that the greater importance of the magnetic field parameter declined the entropy generation and velocit