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.
Blazek, Computational fluid dynamics: principles and applications, Butterworth-Heinemann, 2015
1 Pith paper cite this work, alongside 799 external citations. Polarity classification is still indexing.
1
Pith paper citing it
799
external citations · OpenAlex
fields
cs.LG 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
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.