{
  "abstract": "Solid-state batteries (SSBs) with solid electrolytes (SEs) are attracting substantial investment from the automotive industry to enable fast-charging and safer next-generation electric vehicles. The microstructure of the SE critically affects the battery performance. Electrochemical impedance spectroscopy (EIS) is a powerful, non-destructive probe of charge-transfer and transport processes within SEs and across electrode/SE interfaces but quantitatively connecting measured impedance spectra to the underlying microstructural features remains an open modeling challenge. Here we present a modeling framework that predicts the microstructure-resolved impedance response of a Li/Li6PS5Cl/Li symmetric cell. Taking the Li6PS5Cl SE microstructures from phase-field sintering simulations, we find that increasing porosity shifts the Nyquist semicircle to higher impedance while improved inter-particle contact reduces it, and that impedance decreases monotonically as sintering proceeds. We also isolate the effect of solid electrolyte interphase (SEI) formation: grain boundaries raise impedance only slightly, but SEI volume fraction, and the conductivity of each SEI phase (Li2S, Li3P, LiCl), both strongly affect it. A realistic multi-phase SEI increases interfacial impedance by about two orders of magnitude compared with a grain boundary only network. We further demonstrate that the same pipeline can operate directly on experimental micrographs by extracting pixel-level phase information with AI-assisted image segmentation and using it to predict an impedance spectrum, illustrating a path toward quantitative microstructure-impedance correlations grounded in real, imaged SE microstructures.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2609.15783",
  "author_total": 4,
  "authors": [
    {
      "name": "Kaniza Islam"
    },
    {
      "name": "Chengyin Wu"
    },
    {
      "name": "Noriko Katsube"
    },
    {
      "name": "Yanzhou Ji"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/9qtyybmm7frdp.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2609.15783",
  "fulltext_url": null,
  "id": "9qtyybmm7frdp",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2609.15783",
  "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"
    ],
    [
      "openalex",
      "2208|Advanced Battery Materials and Technologies"
    ]
  ],
  "openalex": "W7213245872",
  "pdf_url": "https://arxiv.org/pdf/2609.15783",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-28",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/9qtyybmm7frdp.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:25:12Z",
      "native_id": "2609.15783",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2609.15783"
    }
  ],
  "subjects": [
    {
      "field": "physics",
      "origin": "arxiv:cond-mat.mtrl-sci",
      "subfield": "condensed-matter"
    }
  ],
  "title": "Microstructure-Resolved Impedance Modeling of Solid-State Batteries",
  "title_text": "Microstructure-Resolved Impedance Modeling of Solid-State Batteries",
  "type": "preprint",
  "updated_at": "2026-10-30T12:25:12Z",
  "url": "https://research.draconitic.com/paper/9qtyybmm7frdp",
  "venue": "arXiv",
  "versions": []
}