5 citations · 9 across the 5 of their papers we have counts for
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Neural network based order parameter for phase transitions and its applications in high-entropy alloys
Junqi Yin, Zongrui Pei, Michael Gao
Phase transition is one of the most important phenomena in nature and plays a central role in materials design. All phase transitions are characterized by suitable order parameters…
Ab-initio free energies of liquid metal alloys: application to the phase diagrams of Li-Na and K-Na
Yang Huang, Michael Widom, Michael C. Gao
Comparison of free energies between different phases and different compositions underlies the prediction of alloy phase diagrams. To allow direct comparison, consistent reference p…
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…
First-principles prediction of high-entropy-alloy stability
Rui Feng, Peter K. Liaw, Michael C. Gao +1
High entropy alloys (HEAs) are multicomponent compounds whose high configurational entropy allows them to solidify into a single phase, with a simple crystal lattice structure. Som…