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Abstract: This article presents a generalizable methodology for data-driven identification of nonlinear dynamics that bounds the model error in terms of the ...
The source code for the paper L. Lu, P. Jin, G. Pang, Z. Zhang, & G. E. Karniadakis. Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators. Nature Machine ...
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