A Mixture Density Network framework predicts phase fractions in refractory multi-principal element alloys with aleatoric uncertainty quantification, identifies minimal features, and uses uncertainty-based active learning to discover novel alloys containing previously unseen elements.
Miracle, High entropy alloys as a bold step forward in alloy development, Nat
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Uncertainty-aware phase fraction prediction and active-learning-guided out-of-domain discovery of refractory multi-principal element alloys
A Mixture Density Network framework predicts phase fractions in refractory multi-principal element alloys with aleatoric uncertainty quantification, identifies minimal features, and uses uncertainty-based active learning to discover novel alloys containing previously unseen elements.