Simulating Diffusion Using ‘kinosons’ And Machine Learning

Researchers from the University of Illinois Urbana-Champaign have developed a more efficient way to calculate diffusion in multicomponent alloys using machine learning. This method allows for faster and more accurate modeling of the alloy’s diffusivity, which is important for understanding the fundamental processes of diffusion in these materials.