101 citations · 135 across the 2 of their papers we have counts for
2 papers
cond-mat.mtrl-sci2022★ 101 cited
Efficient machine-learning model for fast assessment of elastic properties of high-entropy alloys
Guillermo Vazquez, Prashant Singh, Daniel Sauceda +5
We combined descriptor-based analytical models for stiffness-matrix and elastic-moduli with mean-field methods to accelerate assessment of technologically useful properties of high…
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…