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Convolutional neural operators for robustandaccuratelearningofpdes,in:AdvancesinNeuralInformationProcessingSystems,pp · DOI 10.52202/075280-3376

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Evaluation of State-of-the-Art Deep Learning Architectures for Aerodynamical Predictions

physics.flu-dyn · 2026-07-15 · conditional · novelty 6.0

Benchmarking four neural operators for airfoil and NASA CRM pressure prediction: Transolver best on 2D, BSMS-GNN best on 3D; UPT and GAOT lag.

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Evaluation of State-of-the-Art Deep Learning Architectures for Aerodynamical Predictions physics.flu-dyn · 2026-07-15 · conditional · none · ref 19
Benchmarking four neural operators for airfoil and NASA CRM pressure prediction: Transolver best on 2D, BSMS-GNN best on 3D; UPT and GAOT lag.

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