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

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Last updated 01 fevereiro 2025
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
Physics-Informed Deep Neural Operator Networks – arXiv Vanity
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
A seamless multiscale operator neural network for inferring bubble dynamics, Journal of Fluid Mechanics
Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators
In-context operator learning with data prompts for differential equation problems
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
2108.06905] A physics-informed variational DeepONet for predicting the crack path in brittle materials - Academus scientific article reader
Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators
DeepONet: A deep neural network-based model to approximate linear and nonlinear operators
Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators
The Universal Approximation Theorem – deep mind
Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators
Brains, Minds + Machines Seminar Series: 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
Physics-Informed Neural 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 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
Deep-HyROMnet: A Deep Learning-Based Operator Approximation for Hyper-Reduction of Nonlinear Parametrized PDEs
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