9 citations · 19 across the 8 of their papers we have counts for
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cond-mat.mtrl-sci2020
Machine Learning and Data Analytics for Design and Manufacturing of High-Entropy Materials Exhibiting Mechanical or Fatigue Properties of Interest
Baldur Steingrimsson, Xuesong Fan, Anand Kulkarni +2
This chapter presents an innovative framework for the application of machine learning and data analytics for the identification of alloys or composites exhibiting certain desired p…
cond-mat.mtrl-sci2020★ 9 cited
Edge Dislocations Can Control Yield Strength in Refractory Body-Centered-Cubic High Entropy Alloys
Francesco Maresca, Chanho Lee, Rui Feng +8
Energy efficiency is motivating the search for new high-temperature metals. Some new body-centered-cubic random multicomponent "high entropy alloys (HEAs)" based on refractory elem…