{
  "abstract": "While classical thin-film hydrodynamics models widely govern macroscopic fluid layers, they fail to capture the molecular-level thermal fluctuations that dictate nanoscale interfacial dynamics. Standard stochastic extensions rely on the long-wave approximation of the continuum fluctuating Navier-Stokes equations; however, this top-down paradigm lacks a formal connection to microscopic particle trajectories and cannot readily accommodate complex, non-equilibrium boundary mechanisms. We resolve this limitation by deriving the stochastic thin-film equation directly from the exact underlying N-particle Hamiltonian dynamics. This is achieved via a systematic, bottom-up coarse-graining framework based on a generalized fluctuating dynamic density-functional theory. Crucially, this first principles formulation offers unparalleled flexibility, enabling the seamless integration of multi-layered interfaces and non-conserved dynamics such as evaporation. For these complex configurations, our framework rigorously yields entirely novel stochastic thin-film equations featuring emergent noise terms that encapsulate microscopic fluctuations missing from classical top-down models.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2610.35422",
  "author_total": 2,
  "authors": [
    {
      "name": "Toby Kay"
    },
    {
      "name": "Serafim Kalliadasis"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/4f3raf1skat53.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2610.35422",
  "fulltext_url": null,
  "id": "4f3raf1skat53",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2610.35422",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "http://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "cond-mat.stat-mech"
    ],
    [
      "arxiv",
      "physics.flu-dyn"
    ],
    [
      "openalex",
      "2206|Fluid Dynamics and Thin Films"
    ]
  ],
  "openalex": "W7223998956",
  "pdf_url": "https://arxiv.org/pdf/2610.35422",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-26",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/4f3raf1skat53.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:35:35Z",
      "native_id": "2610.35422",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2610.35422"
    }
  ],
  "subjects": [
    {
      "field": "physics",
      "origin": "arxiv:physics.flu-dyn",
      "subfield": "fluid-dynamics"
    },
    {
      "field": "physics",
      "origin": "arxiv:cond-mat.stat-mech",
      "subfield": "statistical-nonlinear"
    }
  ],
  "title": "Microscopic Derivation of Stochastic Thin-Film Equation and Extensions to Two-Layer and Evaporating Films",
  "title_text": "Microscopic Derivation of Stochastic Thin-Film Equation and Extensions to Two-Layer and Evaporating Films",
  "type": "preprint",
  "updated_at": "2026-10-30T12:35:35Z",
  "url": "https://research.draconitic.com/paper/4f3raf1skat53",
  "venue": "arXiv",
  "versions": []
}