{
  "annotation_id": "0a93cea9-4e1f-4234-9372-2bbfe250784d",
  "date_created": "2026-03-02T18:01:24.837000Z",
  "date_modified": "2026-03-02T18:01:24.837000Z",
  "file_hash": "f1a5468085aba3d1708daf8c3fe7cc1fcf4ee077e26cb63a5f1a355c07ca6396",
  "private": false,
  "record": {
    "abstract": "For plane-wave and many-spiral states of the experimentally based Luo-Rudy 1\nmodel of heart tissue in large (8 cm square) domains, we show that an explicit\nspace-time-adaptive time-integration algorithm can achieve an order of\nmagnitude reduction in computational effort and memory - but without a\nreduction in accuracy - when compared to an algorithm using a uniform\nspace-time mesh at the finest resolution. Our results indicate that such an\nexplicit algorithm can be extended straightforwardly to simulate quantitatively\nlarge-scale three-dimensional electrical dynamics over the whole human heart.",
    "arxiv_id": "physics/9908008",
    "authors": [
      "Elizabeth M. Cherry",
      "Henry S. Greenside",
      "Craig S. Henriquez"
    ],
    "categories": [
      "physics.comp-ph"
    ],
    "doi": "10.1103/PhysRevLett.84.1343",
    "title": "An Explicit Space-time Adaptive Method for Simulating Complex Cardiac   Dynamics",
    "url": "https://arxiv.org/abs/physics/9908008"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "5f1678e8-54db-4c71-804a-34025ab99f4e",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}