{
  "abstract": "Quantifying thermal transport across micro- and nanoscale heterostructures is critical for solid-state devices and relies on fitting heat-transfer models to thermal-wave spectra. When probing scales approach optical absorption depths, electron-phonon equilibration lengths, or phonon mean free paths, classical surface-heating Fourier models can match measured phase spectra while returning biased, measurement-dependent parameters. Here we introduce PRISM (Physics-Resolved Inference and Screening Meta-framework), an agentic framework coupling multilayer optical transfer-matrix electrodynamics, two-temperature electron-phonon relaxation, and nonlocal Guyer-Krumhansl phonon hydrodynamics within a unified admittance formalism, paired with singular-value-decomposition identifiability screening and knowledge-guided routing. Demonstrated with frequency-domain thermoreflectance across stacks relevant to microelectronic contacts and dielectric barriers, PRISM corrects a 24-28% interfacial conductance underestimation in Au/Si, recovers intrinsic silica conductivity in Au/Ti/SiO$_2$, and eliminates a 40% cross-plane conductivity underestimation in Au/MoS$_2$. In bimetallic Au/Ti/Si stacks, where all three non-classical mechanisms act simultaneously, nonlocal modeling reconciles the $116$-$137$ W m$^{-1}$ K$^{-1}$ local-fit scatter across spot sizes and frequency windows into a configuration-independent intrinsic silicon conductivity of $141$ W m$^{-1}$ K$^{-1}$. For ion-irradiated and graded media with continuous conductivity profiles, PRISM can autonomously construct and verify a deep operator network solver to reconstruct steep damage gradients. By uniting non-equilibrium transport physics and identifiability screening with autonomous model synthesis, PRISM establishes a generalizable paradigm readily extensible to broader optothermal and thermal-wave metrology modalities.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2611.02475",
  "author_total": 7,
  "authors": [
    {
      "name": "Yicong Qiu"
    },
    {
      "name": "Ziyang Zhong"
    },
    {
      "name": "Ziyan Qian"
    },
    {
      "name": "Yang Lu"
    },
    {
      "name": "Yong Jian Hong"
    },
    {
      "name": "Chenhan Liu"
    },
    {
      "name": "Qiye Zheng"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/169fevaxqy6rd.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2611.02475",
  "fulltext_url": null,
  "id": "169fevaxqy6rd",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2611.02475",
  "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",
      "nlin.CD"
    ]
  ],
  "openalex": null,
  "pdf_url": "https://arxiv.org/pdf/2611.02475",
  "pmcid": null,
  "pmid": null,
  "published": "2026-11-02",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/169fevaxqy6rd.ris",
  "sources": [
    {
      "first_seen": "2026-11-03T12:20:59Z",
      "native_id": "2611.02475",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2611.02475"
    }
  ],
  "subjects": [
    {
      "field": "physics",
      "origin": "arxiv:nlin.CD",
      "subfield": "statistical-nonlinear"
    }
  ],
  "title": "PRISM: Unifying multiphysics optothermal transport and identifiability-guided inference for nanoscale thermal metrology",
  "title_text": "PRISM: Unifying multiphysics optothermal transport and identifiability-guided inference for nanoscale thermal metrology",
  "type": "preprint",
  "updated_at": "2026-11-05T15:20:18Z",
  "url": "https://research.draconitic.com/paper/169fevaxqy6rd",
  "venue": "arXiv",
  "versions": []
}