Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators

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Learning nonlinear operators via DeepONet based on the universal  approximation theorem of operators
Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators
Learning nonlinear operators via DeepONet based on the universal  approximation theorem of operators
A DeepONet multi-fidelity approach for residual learning in reduced order modeling, Advanced Modeling and Simulation in Engineering Sciences
Learning nonlinear operators via DeepONet based on the universal  approximation theorem of operators
Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators
Learning nonlinear operators via DeepONet based on the universal  approximation theorem of operators
DeepOnet: Learning nonlinear operators based on the universal approximation theorem of operators.
Learning nonlinear operators via DeepONet based on the universal  approximation theorem of operators
PDF) Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators
Learning nonlinear operators via DeepONet based on the universal  approximation theorem of operators
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Learning nonlinear operators via DeepONet based on the universal  approximation theorem of operators
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Learning nonlinear operators via DeepONet based on the universal  approximation theorem of operators
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Learning nonlinear operators via DeepONet based on the universal  approximation theorem of operators
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