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Mimicking complex dislocation dynamics by interaction networks

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Original languageEnglish
Article number275
JournalEuropean Physical Journal B
Issue number11
Early online date13 Nov 2018
Publication statusPublished - Nov 2018
Publication typeA1 Journal article-refereed


Two-dimensional discrete dislocation models exhibit complex dynamics in relaxation and under external loading. This is manifested both in the time-dependent velocities of individual dislocations and in the ensemble response, the strain rate. Here we study how well this complexity may be reproduced using so-called Interaction Networks, an artificial intelligence method for learning the dynamics of complex interacting systems. We test how to learn such networks using creep data, and show results on reproducing individual and collective dislocation velocities. The quality of reproducing the interaction kernel is discussed.

Publication forum classification

Field of science, Statistics Finland