arxiv
PublishedJuly 13, 2026 at 4:00 AM
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Entropy-Constrained Machine Learning with Residual Data Augmentation for Modeling Chemical Kinetics
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arXiv:2607.09582v1 Announce Type: cross Abstract: We present a physics-constrained machine learning framework for accelerating the direct numerical simulation (DNS) of turbulent reacting flows. The model replaces the direct evaluation of detailed chemical source terms with a surrogate that predicts
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Originally published on arxiv ↗