Use of artificial neural network for optimization of irreversibility analysis in radiative Cross nanofluid flow past an inclined surface with convective boundary conditions

• Published in: High temperature materials and processes Vol. 44; no. 1; pp. pp. 417 - 437
• Main Authors: Ali, Farhan, Zaib, Aurang, Zafar, Syed Sohaib, Khan, Umair, Ahmed, Muhammad Faizan, Elattar, Samia, Khashi’ie, Najiyah Safwa
• Format: Journal Article
• Language: English
• Published: Berlin De Gruyter 19.08.2025; Walter de Gruyter GmbH
• Subjects: ANN; Artificial intelligence; Artificial neural networks; bio-convective flow; Biot number; Boundary conditions; Chemical reactions; Convective flow; Cross fluid; Differential equations; Entropy; entropy generation; Fluid flow; Heat sinks; Levenberg–Marquardt approach; nanofluid; Nanofluids; Neural networks; Ordinary differential equations; Prandtl number; Thermal radiation

This study uses an artificial intelligence neural network to estimate the solution for a Cross-nanofluid containing gyrotactic microorganisms on an inclined surface. Furthermore, the concept of minimizing entropy has been taken into account. The energy and concentration equations take into account t...