{
  "annotation_id": "ac04fc62-6265-45f7-af2f-9b395a6d7726",
  "date_created": "2026-02-17T05:53:24.181000Z",
  "date_modified": "2026-02-17T05:53:24.181000Z",
  "file_hash": "09738c28a7b2b6f5ff4f9b91aa6f6e68e719a9bb84f2b0a419d895f2b35ef659",
  "private": false,
  "record": {
    "abstract": "While current technology has enabled their widespread use, further improvements are needed for stationary, portable, and mobile applications, for example by the development of novel cathode materials. Digitalization of battery development, combining both experimental and modelling efforts is extremely valuable in this development. This is addressed in the present paper, where the authors present a comprehensive dataset for a graphite/LNMO 1 Ah pouch cell, including material, design, and electrochemical data. The dataset, validated through the BattMo modelling framework, supports physical modelling and aims to benefit the battery modelling community by offering a comprehensive resource for future studies. Both the dataset and the accompanying software for numerical validation is openly available and processed in such a way that it can serve as blueprint for reporting of comparable research data.",
    "arxiv_id": "2601.10507",
    "authors": [
      "Christina Schmitt",
      "August Johansson",
      "Xavier Raynaud",
      "Eibar Joel Flores Cede\u00f1o",
      "John Mugisa",
      "Dane Sotta",
      "Agathe Martin",
      "Nicolas Schaeffer",
      "C\u00e9dric Debruyne",
      "Yvan Reynier",
      "Simon Clark",
      "Dennis Kopljar"
    ],
    "categories": [
      "cond-mat.mtrl-sci",
      "physics.chem-ph"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "title": "Comprehensive parameter and electrochemical dataset for a 1 Ah graphite/LNMO battery cell for physical modelling as a blueprint for data reporting in battery research",
    "url": "https://arxiv.org/abs/2601.10507",
    "version": "v1"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "0f4b3dd6-00e7-48b5-8f86-4d9c9535f78b",
    "id": "arXiv Dataset",
    "type": "Model",
    "variant": "snapshot-2026-01-17",
    "version": "0.1.0"
  },
  "user_id": 1000002
}