arXiv (All)
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Physics-guided inverse design of Co-based superalloys using machine learning and multi-objective optimization for enhanced $γ'$ solvus temperature
The discovery of next-generation Co-based superalloys with improved high-temperature stability is hindered by the vast compositional design space and complex interactions among alloying elements governing gamma-prime phase stability. This study presents a physics-informed machine learning framework
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