Eur. Phys. J. B (2018) 91: 275
https://doi.org/10.1140/epjb/e2018-90419-7

Regular Article

Mimicking complex dislocation dynamics by interaction networks^★

¹ Department of Applied Physics, Aalto University, PO Box 11000, 00076 Aalto, Finland
² Laboratory of Physics, Tampere University of Technology, P.O. Box 692, FI-33101 Tampere, Finland

^a e-mail: henri.salmenjoki@aalto.fi

Received: 27 June 2018
Received in final form: 28 August 2018
Published online: 13 November 2018

Abstract

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.