{
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  "date_created": "2026-03-02T18:00:53.289000Z",
  "date_modified": "2026-03-02T18:00:53.289000Z",
  "file_hash": "bd728f14451e41763aaf2ee349b550156302a5771cc5f732f85851d2e661de68",
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  "record": {
    "abstract": "Several Monte Carlo algorithms and applications that are useful for\nunderstanding the concepts of temperature and chemical potential are discussed.\nWe then introduce a generalization of the demon algorithm that measures the\nchemical potential and is suitable for simulating systems with variable\nparticle number.",
    "arxiv_id": "physics/0411161",
    "authors": [
      "Jan Tobochnik",
      "Harvey Gould",
      "Jonathan Machta"
    ],
    "categories": [
      "physics.ed-ph"
    ],
    "doi": "10.1119/1.1834923",
    "journal_ref": "Am. J. Phys. 73, 708-716 (2005)",
    "title": "Understanding the temperature and the chemical potential using computer   simulations",
    "url": "https://arxiv.org/abs/physics/0411161"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "c349f3bf-8e5d-4420-ae82-497734aa778a",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}