Combining atomistic simulations and machine learning to predict grain boundary segregation in magnesium alloys

Magnesium alloys hold promise as a lightweight material to reduce weight in automobiles and transportation systems, offering potential to enhance fuel economy and reduce emissions, but low formability and strength prevent widespread adoption.