24 citations · 24 across the 2 of their papers we have counts for
3 papers
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…
Origin of ultra-low thermal conductivity in unconventional clathrates: Strong scattering from extremely low-frequency rattling modes
Kamil M. Ciesielski, Brenden R. Ortiz, Lidia C. Gomes +6
Recent discoveries of materials with ultra-low thermal conductivity open a pathway to significant developments in the field of thermoelectricity. Here, we conduct a comparative stu…
Search and Structural Featurization of Magnetically Frustrated Kagomé Lattices
Vanessa Meschke, Prashun Gorai, Vladan Stevanović +1
We have searched nearly 40,000 inorganic solids in the Inorganic Crystal Structural Database to identify compounds containing a transition metal or rare earth kagomé sublattice, a…