{"paper":{"title":"Chrono::Ray: A Distributed Framework for High-Throughput Simulation-Based Analysis of Multibody Systems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"Chrono::Ray combines the Chrono multibody simulator with Ray to enable scalable high-throughput simulation studies.","cross_cats":[],"primary_cat":"cs.CE","authors_text":"Dan Negrut, Khailanii Slaton","submitted_at":"2026-05-13T16:47:09Z","abstract_excerpt":"Large-scale simulation studies can provide invaluable insights across computational engineering efforts, but they are often computationally demanding, requiring the use of distributed computing, which is itself not a simple task. Chrono::Ray addresses this challenge by integrating the high-fidelity multibody dynamics simulation engine Chrono with the open-source distributed computing platform Ray. The result is a modular workflow framework providing user-friendly abstractions for large-scale engineering simulation studies, supporting scalable orchestration of large ensembles of simulation tria"},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"Chrono::Ray addresses this challenge by integrating the high-fidelity multibody dynamics simulation engine Chrono with the open-source distributed computing platform Ray. The result is a modular workflow framework providing user-friendly abstractions for large-scale engineering simulation studies, supporting scalable orchestration of large ensembles of simulation trials without requiring users to directly manage distributed infrastructure.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"That the integration delivers reliable scalability and that the two demonstration examples generalize to the broader range of multibody problems users will encounter.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"Chrono::Ray integrates Chrono and Ray into an open-source framework that enables scalable, user-friendly orchestration of large ensembles of multibody dynamics simulations.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"Chrono::Ray combines the Chrono multibody simulator with Ray to enable scalable high-throughput simulation studies.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"c9d27039e9bd9aae37efb58f5d642f9b5d973d63785dbd2134aca6dff070e00e"},"source":{"id":"2605.13767","kind":"arxiv","version":1},"verdict":{"id":"2af9aaac-2b3f-49a5-af0f-4d6fc0f51454","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-14T17:47:05.458507Z","strongest_claim":"Chrono::Ray addresses this challenge by integrating the high-fidelity multibody dynamics simulation engine Chrono with the open-source distributed computing platform Ray. The result is a modular workflow framework providing user-friendly abstractions for large-scale engineering simulation studies, supporting scalable orchestration of large ensembles of simulation trials without requiring users to directly manage distributed infrastructure.","one_line_summary":"Chrono::Ray integrates Chrono and Ray into an open-source framework that enables scalable, user-friendly orchestration of large ensembles of multibody dynamics simulations.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"That the integration delivers reliable scalability and that the two demonstration examples generalize to the broader range of multibody problems users will encounter.","pith_extraction_headline":"Chrono::Ray combines the Chrono multibody simulator with Ray to enable scalable high-throughput simulation studies."},"references":{"count":5,"sample":[{"doi":"","year":2016,"title":"Chrono: An open source multi-physics dynamics engine","work_id":"8ce107a6-4d2c-455e-9748-8339d078d929","ref_index":1,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2018,"title":"I., and Stoica, I","work_id":"9117cab8-cdc3-4baa-8f25-028501769f66","ref_index":2,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2018,"title":"Gonzalez, and Ion Stoica","work_id":"379cae97-bf10-4ba3-b943-dffabd369b8b","ref_index":3,"cited_arxiv_id":"1807.05118","is_internal_anchor":true},{"doi":"","year":2025,"title":"A physics-based continuum model for versatile, scalable, and fast terramechanics simulation.arXiv preprint arXiv:2507.05643, 2025","work_id":"ccb7e428-f2b3-499e-93de-9b0f73f74136","ref_index":4,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2010,"title":"Vari- ance based sensitivity analysis of model output: Design and estimator for the total sensitivity index.Computer Physics Communications, 181(2):259–270, 2010","work_id":"5641774d-6c5a-4575-8f33-353b2fd062d5","ref_index":5,"cited_arxiv_id":"","is_internal_anchor":false}],"resolved_work":5,"snapshot_sha256":"499db0c26654865066194a79a51f01434d5b93822310c626b03abcb3eb4fbf1e","internal_anchors":1},"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"}