The current study simulated the three-dimensional Williamson nanofluid flow model over a stretching sheet in the presence of Cason parameter explored with hybrid carbon nanotubes. The governing equations are modelled and interpreted using adequate similarity transformations and physical phenomena to convert into nonlinear coupled ordinary differential equations. In order to solve these equations, a Python coding program is used with an open-source boundary value problem solver. The obtained numerical results are validated with related literature results. The results are interpreted through graphs and tables with thermos-physical parameters like thermal Peclet number. It is found that the growth rate of heat transfer from fluid to wall with booming non-linear thermal radiation, radiation, and thermal Peclet number parameters

The paper explores the uniform stability and equilibrium characteristics of a class of neural networks of fractional order with time delay. The two-point self-mapped contraction theorem is used in order to establish sufficient conditions for the uniform stability of the system. Further, the existence, uniqueness, and uniform stability of the equilibrium point are established. A set of numerical examples is presented to proclaim the validity and usefulness of the proposed results.