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A data‐driven approach for predicting nepheline crystallization in high‐level waste glasses

High-level waste (HLW) glasses with high alumina content are prone to nepheline crystallization during the slow canister cooling that is experienced during large-scale production. Due to its detrimental effects on glass durability, nepheline (NaAlSiO4) precipitation must be avoided; however, developing robust, predictive models for nepheline crystallization behavior in compositionally-complex HLW glasses is difficult. Using overly conservative constraints to predict nepheline formation can limit the waste loading to lower