{
  "annotation_id": "8b0dccc4-dd2f-4789-8f11-ac9839c1eb17",
  "date_created": "2026-03-02T18:00:46.857000Z",
  "date_modified": "2026-03-02T18:00:46.857000Z",
  "file_hash": "b51387ea3d1960d21ab72b5fef74e1b2f1b83a5043b7600db1d839503e423e64",
  "private": false,
  "record": {
    "abstract": "This paper outlines the benefits of computational steering for high\nperformance computing applications. Lattice-Boltzmann mesoscale fluid\nsimulations of binary and ternary amphiphilic fluids in two and three\ndimensions are used to illustrate the substantial improvements which\ncomputational steering offers in terms of resource efficiency and time to\ndiscover new physics. We discuss details of our current steering\nimplementations and describe their future outlook with the advent of\ncomputational grids.",
    "arxiv_id": "physics/0307061",
    "authors": [
      "J. Chin",
      "J. Harting",
      "S. Jha",
      "P. V. Coveney",
      "A. R. Porter",
      "S. M. Pickles"
    ],
    "categories": [
      "physics.comp-ph",
      "cond-mat.mes-hall"
    ],
    "doi": "10.1080/00107510310001605046",
    "title": "Steering in computational science: mesoscale modelling and simulation",
    "url": "https://arxiv.org/abs/physics/0307061"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "b5f25eb5-b3cb-45cb-8690-aea0dd950079",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}