A Quantum Leap In Alloy Research: Machine Learning Speeds Up Diffusion Studies By 100x

University of Illinois researchers have developed a faster and more efficient method for modeling diffusion in multicomponent alloys using “kinosons” and machine learning. This breakthrough could greatly improve our understanding of this critical process and its applications in fields such as steel production and battery technology.