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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2406.00553 |
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| _version_ | 1866915016382349312 |
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| author | Lazar, Emanuel A. Lu, Jiayin Rycroft, Chris H. Schwarcz, Deborah |
| author_facet | Lazar, Emanuel A. Lu, Jiayin Rycroft, Chris H. Schwarcz, Deborah |
| contents | This paper introduces a new approach toward characterizing local structural features of two-dimensional particle systems. The approach can accurately identify and characterize defects in high-temperature crystals, distinguish a wide range of nominally disordered systems, and robustly describe complex structures such as grain boundaries. This paper also introduces two-dimensional functionality into the open-source software program VoroTop which automates this analysis. This software package is built on a recently-introduced multithreaded version of VORO++, enabling the analysis of systems with billions of particles on high-performance computer architectures. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_00553 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Characterizing structural features of two-dimensional particle systems through Voronoi topology Lazar, Emanuel A. Lu, Jiayin Rycroft, Chris H. Schwarcz, Deborah Materials Science Soft Condensed Matter Computational Physics This paper introduces a new approach toward characterizing local structural features of two-dimensional particle systems. The approach can accurately identify and characterize defects in high-temperature crystals, distinguish a wide range of nominally disordered systems, and robustly describe complex structures such as grain boundaries. This paper also introduces two-dimensional functionality into the open-source software program VoroTop which automates this analysis. This software package is built on a recently-introduced multithreaded version of VORO++, enabling the analysis of systems with billions of particles on high-performance computer architectures. |
| title | Characterizing structural features of two-dimensional particle systems through Voronoi topology |
| topic | Materials Science Soft Condensed Matter Computational Physics |
| url | https://arxiv.org/abs/2406.00553 |