Physics-informed neural network approach to analyze the onset of oscillatory and stationary convections in chemically triggered Navier-Stokes-Voigt fluid layer heated and salted from below

The present work analyzes the linear and weakly nonlinear stability of double-diffusive convection (DDC) in a Navier-Stokes-Voigt (NSV) fluid, considering a chemical reaction and an internal heat source. The lower fluid layer is salted and heated. The quiescent state and dimensionless variables yiel...

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Vydané v:	Applied mathematics and mechanics Ročník 46; číslo 11; s. 2199 - 2220
Hlavní autori:	Sanju, B. S., Naveen Kumar, R., Varun Kumar, R. S., Abdulrahman, A.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2025 Springer Nature B.V
Vydanie:	English ed.
Predmet:	Applications of Mathematics Chemical reactions Classical Mechanics Convection Diffusivity Fluid flow Fluid- and Aerodynamics Mathematical Modeling and Industrial Mathematics Mathematics Mathematics and Statistics Navier-Stokes equations Neural networks Nonlinear equations Parameters Partial Differential Equations Prandtl number Runge-Kutta method Stability Stream functions (fluids) O357 stability analysis 35Q35 chemical reaction internal heat generation Navier-Stokes-Voigt (NSV) fluid double-diffusive convection (DDC)
ISSN:	0253-4827, 1573-2754
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