DeepONets
PulseAugur coverage of DeepONets — every cluster mentioning DeepONets across labs, papers, and developer communities, ranked by signal.
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New hybrid LSGD method accelerates MIONet training
Researchers have developed a novel hybrid least squares/gradient descent (LSGD) method to accelerate the training of MIONets. This technique extends existing LSGD methods for DeepONets by treating MIONets as multilinear…
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Operator Boosting framework creates efficient neural PDE surrogates
Researchers have developed a new framework called Operator Boosting to create more efficient neural network surrogates for solving partial differential equations (PDEs). This method trains smaller neural operators on re…
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AMORE network accelerates stiff chemical kinetics simulations
Researchers have developed AMORE, an Adaptive Multi-Output Operator Network designed to accelerate simulations of stiff chemical kinetics. This framework uses neural operators to predict multiple thermochemical states s…