Bayesian inference-based physics-informed neural network for performance study of hybrid nanofluids Accurate prediction of thermophysical properties of hybrid nanofluids (HNFs) is a major challenge in thermodynamic applications. This research provides a computational framework to solve the…

A #BayesianInference-based #PhysicsInformedNeuralNetwork (BIPINN)—an integrated computational framework that combines data and physical laws helps to analyze the momentum and heat transfer characteristics of Al2O3-Cu/water hybrid #Nanofluids.

#OpenAccess: