A feed-forward neural network with positional encoding generates film cooling images from 30% fewer experimental measurements while achieving RMSE below 8% and SSIM above 93%.
Machine Learning Methods for the Design and Operation of Liquid Rocket Engines – Research Activities at the DLR Institute of Space Propulsion,
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Reducing Experimental Testing in Space Propulsion Film Cooling Analyses by Pixelwise Generative Image Interpolation
A feed-forward neural network with positional encoding generates film cooling images from 30% fewer experimental measurements while achieving RMSE below 8% and SSIM above 93%.