The island dynamics model on parallel quadtree grids
•An efficient framework for simulations of different aspects of epitaxial growth is proposed.•The proposed framework simulates the island dynamics model (IDM) in parallel on an adaptive mesh using the level-set method.•Both Dirichlet and Robin boundary conditions for the adatom density at the island...
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Veröffentlicht in: | Journal of computational physics 2018-05, Vol.361, p.150-166 |
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Hauptverfasser: | , , , , , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | •An efficient framework for simulations of different aspects of epitaxial growth is proposed.•The proposed framework simulates the island dynamics model (IDM) in parallel on an adaptive mesh using the level-set method.•Both Dirichlet and Robin boundary conditions for the adatom density at the island boundaries are considered.•Our framework surpasses other existing versions by orders of magnitude in efficiency without loss of accuracy.
We introduce an approach for simulating epitaxial growth by use of an island dynamics model on a forest of quadtree grids, and in a parallel environment. To this end, we use a parallel framework introduced in the context of the level-set method. This framework utilizes: discretizations that achieve a second-order accurate level-set method on non-graded adaptive Cartesian grids for solving the associated free boundary value problem for surface diffusion; and an established library for the partitioning of the grid. We consider the cases with: irreversible aggregation, which amounts to applying Dirichlet boundary conditions at the island boundary; and an asymmetric (Ehrlich–Schwoebel) energy barrier for attachment/detachment of atoms at the island boundary, which entails the use of a Robin boundary condition. We provide the scaling analyses performed on the Stampede supercomputer and numerical examples that illustrate the capability of our methodology to efficiently simulate different aspects of epitaxial growth. The combination of adaptivity and parallelism in our approach enables simulations that are several orders of magnitude faster than those reported in the recent literature and, thus, provides a viable framework for the systematic study of mound formation on crystal surfaces. |
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ISSN: | 0021-9991 1090-2716 |
DOI: | 10.1016/j.jcp.2018.01.054 |