24 citations · 28 across the 3 of their papers we have counts for
4 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…
Hydrothermal synthesis of ordered corkite, PbFe3(PO4)(SO4)(OH)6, a S = 5/2 kagomé antiferromagnet
Austin M. Ferrenti, Vanessa Meschke, Shreenanda Ghosh +4
Corkite, PbFe3(PO4)(SO4)(OH)6, an understudied relative of the jarosite family of Heisenberg antiferromagnets, has been synthesized and its magnetic properties characterized for th…
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…