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cs.LG2024★ 1 cited
Self-supervised learning for crystal property prediction via denoising
Alexander New, Nam Q. Le, Michael J. Pekala +1
Accurate prediction of the properties of crystalline materials is crucial for targeted discovery, and this prediction is increasingly done with data-driven models. However, for man…
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…