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Deep neural network-based predictive modeling of entropy generation in electroosmotic transport of six-constant Jeffrey nanofluids through a divergent peristaltic channel

Muhammad Ishaq, M. Bilal Ashraf, Sultan Alshehery, Adel Thaljaoui, S. Babiker, Mastoor M. Abushaega

2025Nonlinear Dynamics10 citationsDOI

Topics & Concepts

NanofluidPeristalsisConstant (computer programming)Entropy (arrow of time)Artificial neural networkMechanicsControl theory (sociology)PhysicsStatistical physicsComputer scienceThermodynamicsChemistryArtificial intelligenceHeat transferControl (management)Programming languageBiochemistryFuel Cells and Related MaterialsNanopore and Nanochannel Transport StudiesPower Transformer Diagnostics and Insulation
Deep neural network-based predictive modeling of entropy generation in electroosmotic transport of six-constant Jeffrey nanofluids through a divergent peristaltic channel | Litcius