34 citations · 35 across the 2 of their papers we have counts for
2 papers
cond-mat.mtrl-sci2022★ 34 cited
Machine-learning enabled thermodynamic model for the design of new rare-earth compounds
Prashant Singh, Tyler Del Rose, Guillermo Vazquez +2
We employ a descriptor based machine-learning approach to assess the effect of chemical alloying on formation-enthalpy of rare-earth intermetallics. Application of machine-learning…
cond-mat.mtrl-sci2021★ 1 cited
A Low Temperature Structural Transition in Canfieldite, AgSnS, Single Crystals
Tyler J. Slade, Volodymyr Gvozdetskyi, John M. Wilde +9
Canfieldite, AgSnS, is a semiconducting mineral notable for its high ionic conductivity, photosensitivity, and low thermal conductivity. We report the solution growth of la…