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.
Investigation of drag models for simulation of gas-liquid two- phase flow systems
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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.