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
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
Physics-informed DeepONets TransferLab — appliedAI Institute
Deep-HyROMnet: A Deep Learning-Based Operator Approximation for Hyper-Reduction of Nonlinear Parametrized PDEs
Operator Learning via Physics-Informed DeepONet: Let's Implement It From Scratch, by Shuai Guo
Learning Operators with Mesh-Informed Neural Networks
VB-DeepONet: A Bayesian operator learning framework for uncertainty quantification - ScienceDirect
VB-DeepONet: A Bayesian operator learning framework for uncertainty quantification - ScienceDirect
In-context operator learning with data prompts for differential equation problems
