Kinetic Monte Carlo simulation of small vacancy clusters electromigration on clean and defective Cu(100) surface
Faculty of Physics, Lomonosov Moscow State University,
a e-mail: firstname.lastname@example.org
Received in final form: 17 November 2018
Published online: 16 January 2019
Electromigration of small vacancy clusters on clean and defective Cu(100) surface is investigated on the atomic scale by performing self-learning kinetic Monte Carlo simulations. Drift velocity dependencies of vacancy clusters on their size, the substrate temperature, the direction and the absolute value of current density are obtained. The drift velocity dependence on the size of vacancy cluster has an oscillatory behavior. The nature of these oscillations is connected with the difference in diffusion mechanisms of “fast” and “slow” vacancy clusters. The presence of point defects leads to the monotonic decrease of the drift velocity of vacancy clusters. The drift velocity drops down if the diameter of the vacancy cluster is larger than the average distance between the point defects.
Key words: Solid State and Materials
© EDP Sciences / Società Italiana di Fisica / Springer-Verlag GmbH Germany, part of Springer Nature, 2019