Optimizing radiative flow of SiO 2 -MOS 4 -Ag nanomaterial under local thermal non-equilibrium conditions for industrial heat transmission applications: levenberg–marquardt technique

The suggested model has numerous applications in sophisticated industrial heat transmission systems, such as electronic cooling, chemical reactors, heat exchangers, and high-temperature manufacturing processes. Incorporating radiative heat transmission and LTNE (local thermal non-equilibrium) effects allows for accurate heat transport analysis in SiO2-MoS4-Ag nanomaterial-based systems. The Levenberg-Marquardt technique is an effective computational framework for parameter estimation and model optimization, which helps to build energy-efficient thermal management technologies and sophisticated engineering applications. The goal of this research is to assess the outcome of heat radiation on bioconvection flow of SiO2-MoS4-Ag nanomaterial across a plate with thermophoresis and STG (surface tension gradient). Additionally, the flow and heat transmission characteristics are predicted using the Levenberg–Marquardt Backpropagation Neural Network (LMB-NN), which offers an accurate and dependable computational method for the suggested nanomaterial system. The solid phase rate of heat transportation rises and the fluid phase rate of heat transmission drops as the interphase heat transmission parameter values upsurge.