{
  "abstract": "Establishing atomistic models of amorphous materials remains a central challenge in materials science. Here, we examine three representative multicomponent monolayer systems using first-principles-trained machine-learning potentials (MLPs) and an energy-guided Monte Carlo structural-search workflow. For monolayer amorphous boron nitride (maBN), independent density-functional-theory (DFT) single-point calculations confirm that the ensemble generated by the MLP-driven search is lower in energy on average than an extended-Tersoff-generated ensemble. Across the sampled maBN structures, local-ring classification combined with strict connected-domain analysis identifies h-BN-like, o-B$_2$N$_2$-like, and o-B$_4$N$_4$-like crystallite domains together with mixed medium-range order. Only individual samples containing at least two distinct phase-pure crystallite-domain types are classified as polymorphic crystallites. The same analysis finds coexisting hexagonal and tetragonal domains in monolayer amorphous LiCl and graphene-like, h-BN-like, borophene-like, and mixed-order regions in monolayer amorphous BCN. Five-nanosecond MLP molecular-dynamics trajectories at 300 K show that the candidate structures are dynamically persistent on the simulated timescale. These results support a polymorphic-crystallite description for the selected model systems, while experimental discrimination from alternative continuous-random-network descriptions will require medium-range-order-sensitive measurements.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": "Journal reference: Appl. Phys. Lett. 129, 111902 (2026)",
  "arxiv": "2605.01881",
  "author_total": 7,
  "authors": [
    {
      "name": "Le-Ye Zhu"
    },
    {
      "name": "Xi Zhang"
    },
    {
      "name": "Yun-Peng Wang"
    },
    {
      "name": "Jieheng Shi"
    },
    {
      "name": "Junwei Zhang"
    },
    {
      "name": "Shixuan Du"
    },
    {
      "name": "Yu-Yang Zhang"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/a9dz7c9hxjtt0.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2605.01881",
  "fulltext_url": null,
  "id": "a9dz7c9hxjtt0",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2605.01881",
  "language": null,
  "licence": "LicenseRef-arXiv-nonexclusive-1.0",
  "licence_label": "arXiv licence",
  "licence_source": "article",
  "licence_url": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "cond-mat.mtrl-sci"
    ],
    [
      "arxiv",
      "physics.comp-ph"
    ]
  ],
  "openalex": null,
  "pdf_url": "https://arxiv.org/pdf/2605.01881",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-17",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/a9dz7c9hxjtt0.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:22:19Z",
      "native_id": "2605.01881",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2605.01881"
    }
  ],
  "subjects": [
    {
      "field": "physics",
      "origin": "arxiv:physics.comp-ph",
      "subfield": "computational"
    },
    {
      "field": "physics",
      "origin": "arxiv:cond-mat.mtrl-sci",
      "subfield": "condensed-matter"
    }
  ],
  "title": "Polymorphic crystallites model for monolayer amorphous materials",
  "title_text": "Polymorphic crystallites model for monolayer amorphous materials",
  "type": "preprint",
  "updated_at": "2026-10-30T12:22:19Z",
  "url": "https://research.draconitic.com/paper/a9dz7c9hxjtt0",
  "venue": "arXiv",
  "versions": [
    {
      "doi": "10.1063/5.0342131",
      "pid": null,
      "relation": "published-as",
      "title": null,
      "venue": null
    }
  ]
}