{
  "abstract": "Three-dimensional cathode microstructures are important inputs to electrochemical simulation, yet a manufacturing descriptor does not determine a unique voxel field and experimentally labelled electrodes are scarce. We introduce Manufacturing-Conditioned Hierarchical Electrode Generation with Diffusion and Global Context (MC-HEDGE), a two-scale conditional generator that first predicts an electrode-level low-resolution active-material field and then samples high-resolution patches conditioned on local coarse context, patch coordinates and a global encoding of the parent electrode. Parent-electrode splitting prevents leakage among correlated patches. On 16 ETHZ binary NMC cathode electrodes (12/2/2 train/validation/test), the model is evaluated after coordinate-aware assembly using conditional volume-fraction Wasserstein distance, directional two-point-correlation distance and a standardized morphology-feature distance, together with a seam diagnostic. MC-HEDGE obtains the lowest ETHZ two-point-correlation distance (0.0135) and seam error (0.2882), while a CVAE gives lower volume-fraction and multi-feature errors. True-context denoising is substantially more accurate than generated-context denoising, quantifying error propagation from the electrode-level stage. The results establish a reproducible computational route to manufacturing-conditioned candidate structures, while the binary representation, small dataset and absence of independent experimental validation delimit the claims.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 3,
  "authors": [
    {
      "name": "Mengda Xing"
    },
    {
      "name": "Jean-Marie Lagniez"
    },
    {
      "name": "Alejandro A Franco"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/82s0kwdg29eam.bib",
  "cited_by": 0,
  "doi": null,
  "fulltext_url": null,
  "id": "82s0kwdg29eam",
  "issns": [],
  "landing_url": "https://hal.science/hal-05747338v1",
  "language": "en",
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "hal",
      "0.phys"
    ],
    [
      "hal",
      "1.phys.phys"
    ],
    [
      "hal",
      "2.phys.phys.phys-chem-ph"
    ]
  ],
  "openalex": null,
  "pdf_url": "https://hal.science/hal-05747338/document",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-11",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/82s0kwdg29eam.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:34Z",
      "native_id": "hal-05747338",
      "source": "hal",
      "url": "https://hal.science/hal-05747338v1"
    }
  ],
  "subjects": [
    {
      "field": "chemistry",
      "origin": "hal:2.phys.phys.phys-chem-ph",
      "subfield": "physical"
    },
    {
      "field": "physics",
      "origin": "hal:0.phys",
      "subfield": "general"
    }
  ],
  "title": "Manufacturing-conditioned hierarchical generation of cathode active-material microstructures with global electrode context",
  "title_text": "Manufacturing-conditioned hierarchical generation of cathode active-material microstructures with global electrode context",
  "type": "preprint",
  "updated_at": "2026-10-30T12:17:34Z",
  "url": "https://research.draconitic.com/paper/82s0kwdg29eam",
  "venue": "HAL",
  "versions": []
}