{
  "abstract": "Electron-beam irradiation limits atomic-resolution characterization of beam-sensitive hybrid materials, yet quantitative models that connect \\textit{in situ} spectroscopy to dose-dependent degradation remain scarce. Here we use a physics-informed neural network (PINN) to model beam-induced spectral evolution in MIL-101(Fe) from an in situ low-loss electron energy-loss spectroscopy (EELS) dose series. Each spectrum is reduced to fixed-window low-loss descriptors, $\\tilde n_{\\mathrm{eff},j}(Φ)=\\int_{\\mathcal{W}_j}S(E,Φ)\\,dE$, evaluated over nominal $π$--$π^{*}$, C--C, C--O, and M--O windows. These descriptors are relative window-integrated low-loss spectral areas, not absolute f-sum-rule effective electron numbers. For each spectral channel, a latent integrity variable $C_i(Φ)$ obeys the same uncoupled power-law degradation equation in normalized dose space, $dC_i/dϕ=-k_i C_i^{p_i}$, regularized by monotonicity, boundedness, and a single hierarchy prior $k_{\\mathrm{C\\text{-}O}}\\geq k_{\\mathrm{C\\text{-}C}}$. Applied to nine dose frames spanning 152--1368~e$^-$/Å$^2$, the ensemble PINN identifies C--O and C--C as the most strongly dose-sensitive linker-associated channels, with half-integrity thresholds of approximately $1.0\\times10^3$~e$^-$/Å$^2$. The 1--3~eV $π$--$π^{*}$-labelled window increases with dose and is therefore interpreted as a mixed low-energy response, likely involving oscillator-strength redistribution rather than direct monotonic loss of a single bond population. The framework provides a dose-dependent, spectroscopy constrained description of MOF degradation while also defining the limits of what fixed-window low-loss EELS can assign without independent chemical-state validation.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": "Journal reference: APL Mater. 14, 091103 (2026)",
  "arxiv": "2605.01697",
  "author_total": 3,
  "authors": [
    {
      "name": "Gabriel T. dos Santos"
    },
    {
      "name": "Roberto dos Reis"
    },
    {
      "name": "Vinayak P. Dravid"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/axtyrn999w5h0.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2605.01697",
  "fulltext_url": null,
  "id": "axtyrn999w5h0",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2605.01697",
  "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.mtrl-sci"
    ],
    [
      "arxiv",
      "cond-mat.soft"
    ]
  ],
  "openalex": null,
  "pdf_url": "https://arxiv.org/pdf/2605.01697",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-30",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/axtyrn999w5h0.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:25:48Z",
      "native_id": "2605.01697",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2605.01697"
    }
  ],
  "subjects": [
    {
      "field": "physics",
      "origin": "arxiv:cond-mat.mtrl-sci",
      "subfield": "condensed-matter"
    }
  ],
  "title": "Physics-Constrained Learning of Dose-Dependent Spectral Degradation in Metal--Organic Frameworks from In Situ Low-Loss EELS",
  "title_text": "Physics-Constrained Learning of Dose-Dependent Spectral Degradation in Metal--Organic Frameworks from In Situ Low-Loss EELS",
  "type": "preprint",
  "updated_at": "2026-10-30T12:25:48Z",
  "url": "https://research.draconitic.com/paper/axtyrn999w5h0",
  "venue": "arXiv",
  "versions": [
    {
      "doi": "10.1063/5.0342950",
      "pid": null,
      "relation": "published-as",
      "title": null,
      "venue": null
    }
  ]
}