{
  "abstract": "We investigate cluster incorporation and dissolution events in two-dimensional colloidal crystals using particle-resolved imaging and machine learning. Particle positions were identified from microscopy images using an object-detection method. The obtained particle positions were used to track individual particles and identify changes in cluster size. We analyzed the statistics of cluster incorporation and dissolution events as a function of the size change associated with each event. The observed event frequency is well described by the cluster size distribution. These results demonstrate that particle-resolved, machine-learning analysis can provide a quantitative approach to investigating cluster dynamics in colloidal crystallization. Furthermore, the analysis provides an estimate of the kinetic critical nucleus size. Under quasi-equilibrium conditions, we show that the kinetic critical size coincides with the thermodynamic critical size, even in the presence of a cluster-mediated growth pathway. Our experimental estimate of the kinetic critical nucleus size is consistent in order of magnitude with the thermodynamic estimate.",
  "abstract_shown": true,
  "affiliations": [
    "Emerging Media Initiative, Kanazawa University , Kakuma-machi, , ,",
    "Tokushima University , , 2-1 minamijosanjima , ,"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 3,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Hiroyasu Katsuno",
      "orcid": "0000-0002-2024-6919"
    },
    {
      "affs": [
        0
      ],
      "name": "Masahide Sato",
      "orcid": "0000-0001-8298-9016"
    },
    {
      "affs": [
        1
      ],
      "name": "Yoshihisa Suzuki",
      "orcid": "0000-0003-2083-5489"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/f5zew971vvj5p.bib",
  "cited_by": 0,
  "doi": "10.1021/acsomega.6c08281",
  "fulltext_url": null,
  "id": "f5zew971vvj5p",
  "issns": [
    "2470-1343"
  ],
  "landing_url": "https://pubs.acs.org/acsodf/article/doi/10.1021/acsomega.6c08281/5464857/Cluster-Incorporation-and-Critical-Nucleus-Size-in",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [],
  "openalex": null,
  "pdf_url": "https://pubs.acs.org/doi/pdf/10.1021/acsomega.6c08281",
  "pmcid": null,
  "pmid": null,
  "published": "2026-11-05",
  "publisher": "American Chemical Society (ACS)",
  "ris": "https://research.draconitic.com/paper/f5zew971vvj5p.ris",
  "sources": [
    {
      "first_seen": "2026-11-05T12:20:52Z",
      "native_id": "10.1021/acsomega.6c08281",
      "source": "crossref",
      "url": "https://pubs.acs.org/acsodf/article/doi/10.1021/acsomega.6c08281/5464857/Cluster-Incorporation-and-Critical-Nucleus-Size-in"
    }
  ],
  "subjects": [
    {
      "field": "chemistry",
      "origin": "issn:2470-1343",
      "subfield": "general"
    }
  ],
  "title": "Cluster Incorporation and Critical Nucleus Size in Crystal Growth: Particle-Resolved Observations Using Colloidal Crystals",
  "title_text": "Cluster Incorporation and Critical Nucleus Size in Crystal Growth: Particle-Resolved Observations Using Colloidal Crystals",
  "type": "peer-reviewed",
  "updated_at": "2026-11-07T00:21:06Z",
  "url": "https://research.draconitic.com/paper/f5zew971vvj5p",
  "venue": "ACS Omega",
  "versions": []
}