24 citations · 27 across the 3 of their papers we have counts for
3 papers
Multi-principal element alloy discovery using directed energy deposition and machine learning
Phalgun Nelaturu, Jason R. Hattrick-Simpers, Michael Moorehead +4
Multi-principal element alloys open large composition spaces for alloy development. The large compositional space necessitates rapid synthesis and characterization to identify prom…
Machine Learning Prediction of Critical Cooling Rate for Metallic Glasses From Expanded Datasets and Elemental Features
Benjamin T. Afflerbach, Carter Francis, Lane E. Schultz +9
We use a random forest model to predict the critical cooling rate (RC) for glass formation of various alloys from features of their constituent elements. The random forest model wa…
Accelerated Discovery of Molten Salt Corrosion-resistant Alloy by High-throughput Experimental and Modeling Methods Coupled to Data Analytics
Yafei Wang, Bonita Goh, Phalgun Nelaturu +10
Insufficient availability of molten salt corrosion-resistant alloys severely limits the fruition of a variety of promising molten salt technologies that could otherwise have signif…