Toroidally oriented pump inlets reduce back-flow by up to 20% (deuterium) and 33% (helium) and enhance partial pressures by factors of 1.78 and 2.00 in DSMC simulations of plasma-imprinted neutral winds.
Modeling rarefied gas-solid surface interactions for Couette flow with different wall temperatures using an unsupervised machine learning technique
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Conditional normalizing flow extends prior ML scattering kernel to full velocity range with physics-informed detailed balance constraint.
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