A neural-network surrogate for DSMC argon flows is demonstrated on equilibrium, shock, and cavity cases, but quantitative validation and data artifacts are missing.
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Data-Driven Surrogate Modeling of DSMC Solutions Using Deep Neural Networks
A neural-network surrogate for DSMC argon flows is demonstrated on equilibrium, shock, and cavity cases, but quantitative validation and data artifacts are missing.