A neural-network potential trained on DFT data predicts that W-Cu alloys soften with copper content and transition from brittle to ductile around 37.5 at% copper.
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Structural and mechanical properties of W-Cu compounds characterized by a neural-network-based potential
A neural-network potential trained on DFT data predicts that W-Cu alloys soften with copper content and transition from brittle to ductile around 37.5 at% copper.