SciML/NeuralOperators.jl

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NeuralOperators Ground Truth Inferenced The demonstration showing above is Navier-Stokes equation learned by the MarkovNeuralOperator with only one time step information. Example can be found in example/FlowOverCircle. Abstract Neural operator is a novel deep learning architecture. It learns a operator, which is a mapping between infinite-dimensional function spaces. It can be used to resolve partial differential equations (PDE). Instead of solving by finite element method, a PDE problem can be resolved...