U-Net with attention mechanism predicts unsteady fluid flows in textured microchannels from lattice Boltzmann data with 5.18% average error, outperforming standard U-Net.
Numerical Investigation of Wettability and its Effects on Flow through Textured Micro-channels using Lattice Bo ltzmann Method
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Extending deep learning U-Net architecture for predicting unsteady fluid flows in textured microchannels
U-Net with attention mechanism predicts unsteady fluid flows in textured microchannels from lattice Boltzmann data with 5.18% average error, outperforming standard U-Net.