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Optimization of self-interstitial clusters in 3C-SiC with genetic algorithm

2017/05/13 by Hyunseok Ko, Amy Kaczmarowski, Izabela Szlufarska +1 · 17 citations
Chemistry · Engineering · Materials Science · Physics and Astronomy · #Advanced ceramic materials synthesis #Aluminum Alloys Composites Properties #Chemical physics #Chemistry #Cluster (spacecraft) #Computational chemistry #Computer science #Density functional theory #Lattice (music) #Materials science #Molecular physics #Physical chemistry #Physics #Planar #Silicon Carbide Semiconductor Technologies #Stoichiometry #cond-mat.mtrl-sci #nucl-th

paper · pdf · doi:10.1016/j.jnucmat.2017.05.015

published in Journal of Nuclear Materials 492, 62-73 (Elsevier BV) · 30 pages, 8 figures

openalex publication_date 2017/05/13 · arxiv created 2017/05/23 · arxiv updated 2017/05/26 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/06

Abstract

Under irradiation, SiC develops damage commonly referred to as black spot defects, which are speculated to be self-interstitial atom clusters. To understand the evolution of these defect clusters and their impacts (e.g., through radiation induced swelling) on the performance of SiC in nuclear applications, it is important to identify the cluster composition, structure, and shape. In this work the genetic algorithm code StructOpt was utilized to identify groundstate cluster structures in 3C-SiC. The genetic algorithm was used to explore clusters of up to ~30 interstitials of C-only, Si-only, and Si-C mixtures embedded in the SiC lattice. We performed the structure search using Hamiltonians from both density functional theory and empirical potentials. The thermodynamic stability of clusters was investigated in terms of their composition (with a focus on Si-only, C-only, and stoichiometric) and shape (spherical vs. planar), as a function of the cluster size (n). Our results suggest that large Si-only clusters are likely unstable, and clusters are predominantly C-only for n <= 10 and stoichiometric for n > 10. The results imply that there is an evolution of the shape of the most stable clusters, where small clusters are stable in more spherical geometries while larger clusters are stable in more planar configurations. We also provide an estimated energy vs. size relationship, E(n), for use in future analysis.

Citations