Application of a mixed variable physics-informed neural network to solve the incompressible steady-state and transient mass, momentum, and energy conservation equations for flow over in-line heated tubes
Ryno Laubscher, Pieter Rousseau
Topics & Concepts
Laminar flowArtificial neural networkFinite volume methodComputational fluid dynamicsMomentum (technical analysis)PhysicsState variableApplied mathematicsPartial differential equationCompressibilityBoundary value problemMechanicsComputer scienceStatistical physicsMathematicsMathematical analysisArtificial intelligenceEconomicsThermodynamicsFinanceModel Reduction and Neural NetworksHeat Transfer MechanismsFluid Dynamics and Turbulent Flows