DFT survey of H, He, B, C, N, O, P, S at six CSL grain boundaries in ferritic iron finds B and C strengthen cohesion while He, O, S act as powerful decohesives, with public data release.
Reiners-Sakic, A
2 Pith papers cite this work. Polarity classification is still indexing.
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Improper use of test data during hyperparameter tuning in link prediction inflates performance estimates by an average of 3.6 percent across 60 networks, as measured by a new Loss Ratio metric.
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Grain boundary segregation of light elements and their effects on cohesion in ferritic steels
DFT survey of H, He, B, C, N, O, P, S at six CSL grain boundaries in ferritic iron finds B and C strengthen cohesion while He, O, S act as powerful decohesives, with public data release.
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Impacts of Data Splitting Strategies on Parameterized Link Prediction Algorithms
Improper use of test data during hyperparameter tuning in link prediction inflates performance estimates by an average of 3.6 percent across 60 networks, as measured by a new Loss Ratio metric.