Litcius/Paper detail

A physics-informed deep learning framework for inversion and surrogate modeling in solid mechanics

Ehsan Haghighat, Maziar Raissi, Adrian Moure, Héctor Gómez, Rubén Juanes

2021Computer Methods in Applied Mechanics and Engineering1,178 citationsDOI

Topics & Concepts

Artificial neural networkvon Mises yield criterionFinite element methodRobustness (evolution)Computer scienceNonlinear systemIsogeometric analysisSurrogate modelApplied mathematicsDeep learningArtificial intelligenceAlgorithmMathematical optimizationMachine learningMathematicsPhysicsQuantum mechanicsChemistryGeneThermodynamicsBiochemistryModel Reduction and Neural NetworksAdvanced Numerical Analysis TechniquesNumerical methods in engineering