{"paper":{"title":"Mesoscopic modelling of epithelial tissues","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cond-mat.soft","cond-mat.stat-mech"],"primary_cat":"physics.comp-ph","authors_text":"2) ((1) Interdisciplinary center for nanostructured films & Institute for Theoretical Physics, (2) Division of Physical Chemistry, Ana-Sun\\v{c}ana Smith (1, Croatia), Friedrich-Alexander-Universit\\\"at Erlangen-N\\\"urnberg, Germany, Kevin H\\\"ollring (1), Ru{\\dj}er Bo\\v{s}kovi\\'c Institute, Zagreb","submitted_at":"2022-12-19T15:38:23Z","abstract_excerpt":"Over the last two decades, scientific literature has been blooming with various means of simulating epithelial cell colonies. Each of these simulations can be separated by their respective efficiency (expressed in terms of consumed computational resources), the amount of cells/the size of tissues that can be simulated, the time scale of the simulated dynamics and the coarse grained level of precision. Choosing the right algorithm for the simulation of epithelial cells and tissues is a compromise between each of these key elements. Irrespective of the method, each algorithm includes part, or al"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2212.09547","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2212.09547/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}