Artificial intelligence driven heuristics approach to analyze entropy optimized MHD flow of non-linear radiative hybrid nanofluids considering vertical thin needle

Key Points

• Entropy analysis demonstrates the effects of hybrid nanofluids on MHD flow dynamics, enhancing heat transfer efficiency.
• Results show improved flow characteristics and reduced resistance in nanofluid systems at varying radiation levels.
• Analysis employs an artificial intelligence-driven heuristics approach for precise modeling and simulation of MHD phenomena.
• Findings indicate potential applications in thermal energy systems, underscoring the importance of advanced fluid dynamics.