A hybrid recommender system combining metadata-driven similarity and matrix completion recommends closure models for new multiphase flow CFD cases and reduces performance regret relative to baselines on 136 validation cases.
Data-driven closure model selection for multiphase cfd via matrix completion
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Hybrid Cold-Start Recommender System for Closure Model Selection in Multiphase Flow Simulations
A hybrid recommender system combining metadata-driven similarity and matrix completion recommends closure models for new multiphase flow CFD cases and reduces performance regret relative to baselines on 136 validation cases.