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SPINN: Sparse, Physics-based, and partially Interpretable Neural Networks for PDEs

Amuthan Arunkumar Ramabathiran, Prabhu Ramachandran

2021Journal of Computational Physics94 citationsDOIOpen Access PDF

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
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