A graph-based autoencoder with temporal layers forecasts unsteady transonic wing pressure distributions on the BSCW test case with CFD-like accuracy and much lower inference cost.
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Generative Spatio-temporal GraphNet for Transonic Wing Pressure Distribution Forecasting
A graph-based autoencoder with temporal layers forecasts unsteady transonic wing pressure distributions on the BSCW test case with CFD-like accuracy and much lower inference cost.