{
  "annotation_id": "242864d6-13be-4f71-adef-4af85a65ecec",
  "date_created": "2026-03-02T18:01:00.153000Z",
  "date_modified": "2026-03-02T18:01:00.153000Z",
  "file_hash": "d25b6581be6b9566824c51c35585f39a7c6bf416f4760c941118976b0343006b",
  "private": false,
  "record": {
    "abstract": "We review the history of the parallel tempering simulation method. From its\norigins in data analysis, the parallel tempering method has become a standard\nworkhorse of physiochemical simulations. We discuss the theory behind the\nmethod and its various generalizations. We mention a selected set of the many\napplications that have become possible with the introduction of parallel\ntempering and we suggest several promising avenues for future research.",
    "arxiv_id": "physics/0508111",
    "authors": [
      "David J. Earl",
      "Michael W. Deem"
    ],
    "categories": [
      "physics.comp-ph",
      "cond-mat.stat-mech",
      "physics.chem-ph"
    ],
    "doi": "10.1039/B509983H",
    "title": "Parallel Tempering: Theory, Applications, and New Perspectives",
    "url": "https://arxiv.org/abs/physics/0508111"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "8cbb89b0-b8a8-4496-ad20-2b50eb5db1b6",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}