The island dynamics model on parallel quadtree grids
Creators
- 1. Department of Mechanical Engineering, University of California, Santa Barbara, CA 93106-5070, Unites States (United States)
- 2. Department of Mathematics and Institute for Pure and Applied Mathematics, UCLA, CA 90095-7121 (United States)
- 3. Department of Mathematics, and Institute for Physical Science and Technology, and Center for Scientific Computation and Mathematical Modeling, University of Maryland, College Park, MD 20742 (United States)
- 4. Department of Computer Science, University of California, Santa Barbara, CA 93106-5110 (United States)
Description
Highlights: • 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.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.jcp.2018.01.054Additional details
Identifiers
- DOI
- 10.1016/j.jcp.2018.01.054;
- PII
- S0021999118300767;
Publishing Information
- Journal Title
- Journal of Computational Physics (Print)
- Journal Volume
- 361
- Journal Page Range
- p. 150-166
- ISSN
- 0021-9991
- CODEN
- JCTPAH
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 53004142
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- ACCURACY; AGGLOMERATION; ASYMMETRY; ATOMS; BOUNDARY CONDITIONS; CRYSTALS; DIFFUSION BARRIERS; DIRICHLET PROBLEM; EPITAXY; SIMULATION; SUPERCOMPUTERS; SURFACES
- Descriptors DEC
- BOUNDARY-VALUE PROBLEMS; COMPUTERS; CRYSTAL GROWTH METHODS; DIGITAL COMPUTERS
Optional Information
- Copyright
- Copyright (c) 2018 Elsevier Inc. All rights reserved.