SPINN: Sparse, Physics-based, and partially Interpretable Neural Networks for PDEs
Amuthan Arunkumar Ramabathiran, Prabhu Ramachandran
Topics & Concepts
Partial differential equationArtificial neural networkOrdinary differential equationComputer scienceNonlinear systemCellular neural networkClass (philosophy)Applied mathematicsRepresentation (politics)AlgorithmArtificial intelligenceMathematicsDifferential equationTheoretical computer scienceMathematical analysisPhysicsPoliticsQuantum mechanicsPolitical scienceLawModel Reduction and Neural NetworksNuclear Engineering Thermal-HydraulicsFluid Dynamics and Turbulent Flows