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
Learning the solution operator of parametric partial differential equations with physics-informed DeepONets
Learning nonlinear operators via DeepONet based on the universal  approximation theorem of operators
Axioms, Free Full-Text
Learning nonlinear operators via DeepONet based on the universal  approximation theorem of operators
Deep learning operator network for plastic deformation with variable loads and material properties
Learning nonlinear operators via DeepONet based on the universal  approximation theorem of operators
Operator Learning via Physics-Informed DeepONet: Let's Implement It From Scratch, by Shuai Guo
Learning nonlinear operators via DeepONet based on the universal  approximation theorem of operators
Simulating progressive intramural damage leading to aortic dissection using DeepONet: an operator–regression neural network
Learning nonlinear operators via DeepONet based on the universal  approximation theorem of operators
High‐Precision and Fast Prediction of Regional Wind Fields in Near Space Using Neural‐Network Approximation of Operators - Chen - 2023 - Geophysical Research Letters - Wiley Online Library
Learning nonlinear operators via DeepONet based on the universal  approximation theorem of operators
Algorithms, Free Full-Text
Learning nonlinear operators via DeepONet based on the universal  approximation theorem of operators
Learning Operators with Mesh-Informed Neural Networks
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