Browsing by Author "Arróyave, Raymundo"

Now showing items 1-3 of 3

    • Efficient machine-learning model for fast assessment of elastic properties of high-entropy alloys 

      Guillermo, Vazquez; Singh, Prashant; Sauceda, Daniel; Couperthwaite, Richard; Britt, Nicholas; ... more authors ( Elsevier , 2022 , Article)
      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-entropy alloys, such as strength and ...

    • Entropy-driven melting point depression in fcc HEAs 

      Tanner, Kirk; Vela, Brent; Mehalic, Seth; Youssef, Khaled; Arróyave, Raymundo ( Elsevier , 2022 , Article)
      High Entropy Alloys (HEAs) are an increasingly dominant alloy design paradigm. The premise of entropic stabilization of single-phase alloys has motivated much of the research on HEAs. Chemical complexity may indeed help ...

    • Towards stacking fault energy engineering in FCC high entropy alloys 

      Tasneem Z., Khan; Kirk, Tanner; Vazquez, Guillermo; Singh, Prashant; Smirnov, A.V.; ... more authors ( Elsevier , 2022 , Article)
      Stacking Fault Energy (SFE) is an intrinsic alloy property that governs much of the plastic deformation mechanisms observed in fcc alloys. While SFE has been recognized for many years as a key intrinsic mechanical property, ...