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A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder

Youngkyu Kim, Youngsoo Choi, David Widemann, Tarek I. Zohdi

2021Journal of Computational Physics202 citationsDOIOpen Access PDF

Topics & Concepts

SpeedupAutoencoderSubspace topologyArtificial neural networkNonlinear systemApplied mathematicsBurgers' equationComputer scienceDimensionality reductionModel order reductionAlgorithmReduction (mathematics)MathematicsPartial differential equationMathematical analysisPhysicsArtificial intelligenceGeometryOperating systemQuantum mechanicsProjection (relational algebra)Model Reduction and Neural NetworksNuclear Engineering Thermal-HydraulicsFluid Dynamics and Vibration Analysis
A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder | Litcius