Litcius/Paper detail

Novel attention-based convolutional autoencoder and ConvLSTM for reduced-order modeling in fluid mechanics with time derivative architecture

Alireza Beiki, Reza Kamali

2023Physica D Nonlinear Phenomena12 citationsDOI

Topics & Concepts

AutoencoderComputer scienceArtificial intelligenceConvolutional neural networkConstruct (python library)Dependency (UML)Pattern recognition (psychology)Block (permutation group theory)AlgorithmDeep learningMathematicsGeometryProgramming languageModel Reduction and Neural NetworksFluid Dynamics and Vibration AnalysisNuclear Engineering Thermal-Hydraulics
Novel attention-based convolutional autoencoder and ConvLSTM for reduced-order modeling in fluid mechanics with time derivative architecture | Litcius