2020
DOI: 10.1007/s13369-020-04593-5
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Numerical Treatments to Analyze the Nonlinear Radiative Heat Transfer in MHD Nanofluid Flow with Solar Energy

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Cited by 62 publications
(27 citation statements)
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“…2 and 3. These tables witnesses that magnetic field, In future, one may explore strength of stochastic numerical solvers based on neural networks optimized with metaheuris- tics procedures [35][36][37][38][39][40] to study the dynamical Effects fluidic problems based on Gyro-Tactic organisms in bio-convective nano-material with heat immersion, stratification, and viscous dissipation.…”
Section: Simulated Results With Discussionmentioning
confidence: 99%
“…2 and 3. These tables witnesses that magnetic field, In future, one may explore strength of stochastic numerical solvers based on neural networks optimized with metaheuris- tics procedures [35][36][37][38][39][40] to study the dynamical Effects fluidic problems based on Gyro-Tactic organisms in bio-convective nano-material with heat immersion, stratification, and viscous dissipation.…”
Section: Simulated Results With Discussionmentioning
confidence: 99%
“…where h represents step size parameter. Similarly, generalized two-stage Adams-Moulton corrector expressions [36][37][38][39][40][41][42] for…”
Section: Adams Method: Predictor-corrector Approachmentioning
confidence: 99%
“…The competency of Adam Numerical Solver based on predictor-corrector approach [36][37][38][39][40][41][42] is exploited for numerical solution. Equations (9)-(13) are stiff nonlinear, therefore, numerical treatment is conducted with Adams method.…”
Section: Numerical Proceduresmentioning
confidence: 99%
“…The reference numerical solutions are determined by employing the Adams predictor corrector method 60 62 to solve the system of Eqs. ( 13 – 15 ) by using boundary conditions as given in Eq.…”
Section: Methodsmentioning
confidence: 99%