Revealing hydrogen dynamics and embrittlement resistance in Cu-modified Al-Sc alloys using machine learning potential

Key Points

• Hydrogen dynamics influence embrittlement resistance in aluminum-scandium alloys, providing key insights into material behavior.
• Key evidence shows significant variations in embrittlement resistance determined by hydrogen interaction with crystal structures.
• Analysis utilizing machine learning potential demonstrates predictive capabilities, helping to optimize material composition and properties.
• This study highlights the need for further exploratory work to validate findings and expand upon the applications of these alloys.