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Sequential Deep Operator Networks (S-DeepONet) for predicting full-field solutions under time-dependent loads

Junyan He, Shashank Kushwaha, Jaewan Park, Seid Korić, Diab Abueidda, Iwona Jasiuk

2023Engineering Applications of Artificial Intelligence109 citationsDOI

Topics & Concepts

Computer scienceParametric statisticsOperator (biology)Artificial neural networkAlgorithmDeep learningNonlinear systemBenchmark (surveying)Rendering (computer graphics)Artificial intelligenceRecurrent neural networkMathematicsGeographyTranscription factorGeodesyGeneStatisticsRepressorPhysicsChemistryQuantum mechanicsBiochemistryNon-Destructive Testing TechniquesModel Reduction and Neural NetworksProbabilistic and Robust Engineering Design
Sequential Deep Operator Networks (S-DeepONet) for predicting full-field solutions under time-dependent loads | Litcius