CORDIS Project
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This project focuses on developing a novel machine-learning potential for simulating metallic alloys, aiming to enhance predictive accuracy across various compositions. It seeks to address limitations in existing models by introducing a new architecture that incorporates magnetic properties and improves computational e…
Metallic alloys form the backbone of modern infrastructure and technology in our society.
Hence, alloys must be understood, not only by their macroscopic behavior, but rather through consideration of the interactions between many length scales, from angstroms to meters.
In general, understanding cannot be developed by experiments alone, beyond observations of snapshots, but must be combined with atomistic simulations that can provide a deeper understanding of the nanoscale mechanisms that govern…
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