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Hamburg University of Technology, Hamburg, Germany
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Predicting time increments with a compact Fourier Neural Operator leads to faster and equally accurate modeling of Rayleigh-B茅nard convection.
Unlock faster, more accurate simulations of particle movement in fluids by replacing the computationally expensive Basset force integral with a neural network approximation.
