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DeepOnet: Learning nonlinear operators based on the universal approximation theorem of operators.
DeepOnet: Learning nonlinear operators based on the universal approximation theorem of operators
George Karniadakis - From PINNs to DeepOnets
Deep Operator Networks (DeepONet) [Physics Informed Machine Learning]
Universal Approximation
Learning Physics Informed Machine Learning Part 3- Physics Informed DeepONets
Learning operators using deep neural networks for multiphysics, multiscale, & multifidelity problems
George Karniadakis - Approximating functions, functionals and operators using DNNs
[50 seconds] Universal Approximation with Deep Narrow Networks
DDPS | Deep neural operators with reliable extrapolation for multiphysics & multiscale problems
HOW it Works: Deep Neural Operators (DeepONets)
MPINNs || Universal operator approximation theorem of DeepOperator Networks || May 20,2022