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Simulating diffusion using 'kinosons' and machine learning - EurekAlert
Researchers from the University of Illinois Urbana-Champaign have recast diffusion in multicomponent alloys as a sum of individual contributions, called “kinosons.” Using machine learning to compute the statistical distribution of the individual contributions, they were able to model the alloy and calculate its diffusivity orders of magnitude more efficiently than computing whole trajectories. This work was recently published in the journal Physical Review Letters.
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