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cond-mat.mtrl-sci2024
Deep Learning Accelerated Phase Prediction of Refractory Multi-Principal Element Alloys
A. K. Shargh, C. D. Stiles, J. A. El-Awady
The tunability of the mechanical properties of refractory multi-principal-element alloys (RMPEAs) make them attractive for numerous high-temperature applications. It is well-establ…
cond-mat.mtrl-sci2023
Evaluating the diversity and utility of materials proposed by generative models
Alexander New, Michael Pekala, Elizabeth A. Pogue +4
Generative machine learning models can use data generated by scientific modeling to create large quantities of novel material structures. Here, we assess how one state-of-the-art g…