{
  "annotation_id": "a47912c3-2a87-4847-b159-4464a9d41857",
  "date_created": "2026-03-02T18:01:21.695000Z",
  "date_modified": "2026-03-02T18:01:21.695000Z",
  "file_hash": "52939b77f1a409aca218f049a2c871b951aa244a653d98bb018f6565dd7ee11b",
  "private": false,
  "record": {
    "abstract": "A molecular dynamics simulation of a Lennard-Jones fluid, and a trajectory of\nthe B1 immunoglobulin G-binding domain of streptococcal protein G (B1-IgG)\nsimulated in water are analyzed by recurrence quantification, which is\nnoteworthy for its independence from stationarity constraints, as well as its\nability to detect transients, and both linear and nonlinear state changes. The\nresults demonstrate the sensitivity of the technique for the discrimination of\nphase sensitive dynamics. Physical interpretation of the recurrence measures is\nalso discussed.",
    "arxiv_id": "physics/9806006",
    "authors": [
      "Cesare Manetti",
      "Marc-Antoine Ceruso",
      "Alessandro Giuliani",
      "Charles L. Webber, Jr.",
      "Joseph P. Zbilut"
    ],
    "categories": [
      "physics.bio-ph",
      "q-bio"
    ],
    "doi": "10.1103/PhysRevE.59.992",
    "title": "Recurrence quantification analysis as a tool for the characterization of   molecular dynamics simulations",
    "url": "https://arxiv.org/abs/physics/9806006"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "52f88089-da0c-4043-a6ba-f3020d4f1587",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}