Stochastic numerical solver for nanofluidic problems containing multi-walled carbon nanotubes.

•Novel design of unsupervised ANNs for solving nanofluidic problems in mechanics.•Hybrid computing GA-IPA is exploited for finding design parameters of networks.•Design scheme is tested effectively on variant fluid flow and heat transfer scenarios.•Correctness of scheme is verified by closely matched results from standard solutions.•Statistical performance indices validate consistent accuracy and convergence.