24 citations · 44 across the 5 of their papers we have counts for
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Molecular Dynamic Characteristic Temperatures for Predicting Metallic Glass Forming Ability
Lane E. Schultz, Benjamin Afflerbach, Izabela Szlufarska +1
We explore the use of characteristic temperatures derived from molecular dynamics to predict aspects of metallic Glass Forming Ability (GFA). Temperatures derived from cooling curv…
Molecular simulation-derived features for machine learning predictions of metal glass forming ability
Benjamin T. Afflerbach, Lane Schultz, John H. Perepezko +3
We have developed models of metallic alloy glass forming ability based on newly computationally accessible features obtained from molecular dynamics simulations. In this work we sh…
Exploration of Characteristic Temperature Contributions to Metallic Glass Forming Ability
Lane E. Schultz, Benjamin Afflerbach, Carter Francis +3
Various combinations of characteristic temperatures, such as the glass transition temperature, liquidus temperature, and crystallization temperature, have been proposed as predicti…