A deep-ensemble active-learning surrogate predicts per-triangle impact velocities and particle flux in stream finishing with Spearman correlations up to 0.93 from 13% of DEM simulations.
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Uncertainty-guided active learning for surrogate prediction of stream-finishing wear fields
A deep-ensemble active-learning surrogate predicts per-triangle impact velocities and particle flux in stream finishing with Spearman correlations up to 0.93 from 13% of DEM simulations.