Minimum energy path for the nucleation of misfit dislocations in Ge/Si(0 0 1) heteroepitaxy

O. Trushin, E. Maras, A. Stukowski, E. Granato, S. C. Ying, H. Jónsson, T. Ala-Nissila

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Abstract

A possible mechanism for the formation of a 90° misfit dislocation at the Ge/Si(0 0 1) interface through homogeneous nucleation is identified from atomic scale calculations where a minimum energy path connecting the coherent epitaxial state and a final state with a 90° misfit dislocation is found using the nudged elastic band method. The initial path is generated using a repulsive bias activation procedure in a model system including 75 000 atoms. The energy along the path exhibits two maxima in the energy. The first maximum occurs as a 60° dislocation nucleates. The intermediate minimum corresponds to an extended 60° dislocation. The subsequent energy maximum occurs as a second 60° dislocation nucleates in a complementary, mirror glide plane, simultaneously starting from the surface and from the first 60° dislocation. The activation energy of the nucleation of the second dislocation is 30% lower than that of the first one showing that the formation of the second 60° dislocation is aided by the presence of the first one. The simulations represent a step towards unraveling the formation mechanism of 90° dislocations, an important issue in the design of growth procedures for strain released Ge overlayers on Si(1 0 0) surfaces, and more generally illustrate an approach that can be used to gain insight into the mechanism of complex nucleation paths of extended defects in solids.

Original languageEnglish
Article number035007
JournalModelling and Simulation in Materials Science and Engineering
Volume24
Issue number3
DOIs
Publication statusPublished - 22 Feb 2016

Bibliographical note

Funding Information:
This work was supported by the Academy of Finland through the FiDiPro program (HJ, grant no. 263294) and the COMP CoE (TA-N, grant no. 251748). We acknowledge computational resources provided by the Aalto Science-IT project and CSC IT Center for Science Ltd in Espoo, Finland. EG was supported by Fundao de Amparo Pesquisa do Estado de Sao Paulo FAPESP (Grant no. 2014/15372-3). OT was supported by Russian Foundation for Basic Reserch grant No. 14-00139a. SCY was supported by a Brazilian Initiative Collaboration Grant funded by the Watson Institute at Brown University. EM wish to thank Laurent Pizzagalli for helpful discussions.

Publisher Copyright:
© 2016 IOP Publishing Ltd.

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