Litcius/Paper detail

Physics constrained learning for data-driven inverse modeling from sparse observations

Kailai Xu, Eric Darve

2022Journal of Computational Physics57 citationsDOIOpen Access PDF

Topics & Concepts

Partial differential equationInverse problemApplied mathematicsNonlinear systemConvergence (economics)Penalty methodStability (learning theory)Computer scienceInverseTerm (time)Mathematical optimizationRange (aeronautics)Function (biology)AlgorithmArtificial neural networkMathematicsArtificial intelligenceMathematical analysisPhysicsMachine learningMaterials scienceEconomicsQuantum mechanicsBiologyEconomic growthComposite materialEvolutionary biologyGeometryModel Reduction and Neural NetworksSeismic Imaging and Inversion TechniquesNumerical methods in inverse problems
Physics constrained learning for data-driven inverse modeling from sparse observations | Litcius