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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

B. S. Sanju, R. Naveen Kumar, Raman Kumar, Amal Abdulrahman, Raman Kumar, Amal Abdulrahman

2025Applied Mathematics and Mechanics16 citationsDOI

Topics & Concepts

Prandtl numberDimensionless quantityThermodynamicsConvectionWork (physics)Internal heatingThermal diffusivityNonlinear systemMass transferRayleigh numberHeat transferMechanicsMaterials scienceChemistryYield (engineering)Schmidt numberPéclet numberConvective heat transferStationary stateStability (learning theory)Artificial neural networkChemical reactionDouble diffusive convectionDifferential equationThermalAmplitudeSteady state (chemistry)Partial differential equationRayleigh scatteringNatural convectionModel Reduction and Neural NetworksNeural Networks and Reservoir ComputingNonlinear Dynamics and Pattern Formation
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 | Litcius