{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:LK3YDNY6FRS6VGZD466CW5MQT3","short_pith_number":"pith:LK3YDNY6","schema_version":"1.0","canonical_sha256":"5ab781b71e2c65ea9b23e7bc2b75909ef95833d4b7b94012290b8ea311b5f007","source":{"kind":"arxiv","id":"1803.09563","version":2},"attestation_state":"computed","paper":{"title":"Computational modeling of multiphase viscoelastic and elastoviscoplastic flows","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"physics.flu-dyn","authors_text":"Daulet Izbassarov, Luca Brandt, Marco E. Rosti, M. Niazi Ardekani, Mohammad Sarabian, Outi Tammisola, Sarah Hormozi","submitted_at":"2018-03-26T13:04:07Z","abstract_excerpt":"In this paper, a three-dimensional numerical solver is developed for suspensions of rigid and soft particles and droplets in viscoelastic and elastoviscoplastic (EVP) fluids. The presented algorithm is designed to allow for the first time three-dimensional simulations of inertial and turbulent EVP fluids with a large number particles and droplets. This is achieved by combining fast and highly scalable methods such as an FFT-based pressure solver, with the evolution equation for non-Newtonian (including elastoviscoplastic) stresses. In this flexible computational framework, the fluid can be mod"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1803.09563","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.flu-dyn","submitted_at":"2018-03-26T13:04:07Z","cross_cats_sorted":[],"title_canon_sha256":"1f2d0a20ead327d42fb494e4dddc58cb323509e21c32fa0996a63c63bb91e10a","abstract_canon_sha256":"45257b9adb0ea9fde50fa46f6999aeb3cf4cc72105fccf0e88b9dedede369174"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:59:17.457600Z","signature_b64":"3ryiXaYD2PGz2OWccEW8oGzgy1N7GouqeS/HhZvsDtsyv+7T/cPA9jzfJj3Q75BAujKdTvBHpobXVxFvbc/gAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5ab781b71e2c65ea9b23e7bc2b75909ef95833d4b7b94012290b8ea311b5f007","last_reissued_at":"2026-05-17T23:59:17.457046Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:59:17.457046Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Computational modeling of multiphase viscoelastic and elastoviscoplastic flows","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"physics.flu-dyn","authors_text":"Daulet Izbassarov, Luca Brandt, Marco E. Rosti, M. Niazi Ardekani, Mohammad Sarabian, Outi Tammisola, Sarah Hormozi","submitted_at":"2018-03-26T13:04:07Z","abstract_excerpt":"In this paper, a three-dimensional numerical solver is developed for suspensions of rigid and soft particles and droplets in viscoelastic and elastoviscoplastic (EVP) fluids. The presented algorithm is designed to allow for the first time three-dimensional simulations of inertial and turbulent EVP fluids with a large number particles and droplets. This is achieved by combining fast and highly scalable methods such as an FFT-based pressure solver, with the evolution equation for non-Newtonian (including elastoviscoplastic) stresses. In this flexible computational framework, the fluid can be mod"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.09563","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1803.09563","created_at":"2026-05-17T23:59:17.457135+00:00"},{"alias_kind":"arxiv_version","alias_value":"1803.09563v2","created_at":"2026-05-17T23:59:17.457135+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.09563","created_at":"2026-05-17T23:59:17.457135+00:00"},{"alias_kind":"pith_short_12","alias_value":"LK3YDNY6FRS6","created_at":"2026-05-18T12:32:37.024351+00:00"},{"alias_kind":"pith_short_16","alias_value":"LK3YDNY6FRS6VGZD","created_at":"2026-05-18T12:32:37.024351+00:00"},{"alias_kind":"pith_short_8","alias_value":"LK3YDNY6","created_at":"2026-05-18T12:32:37.024351+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/LK3YDNY6FRS6VGZD466CW5MQT3","json":"https://pith.science/pith/LK3YDNY6FRS6VGZD466CW5MQT3.json","graph_json":"https://pith.science/api/pith-number/LK3YDNY6FRS6VGZD466CW5MQT3/graph.json","events_json":"https://pith.science/api/pith-number/LK3YDNY6FRS6VGZD466CW5MQT3/events.json","paper":"https://pith.science/paper/LK3YDNY6"},"agent_actions":{"view_html":"https://pith.science/pith/LK3YDNY6FRS6VGZD466CW5MQT3","download_json":"https://pith.science/pith/LK3YDNY6FRS6VGZD466CW5MQT3.json","view_paper":"https://pith.science/paper/LK3YDNY6","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1803.09563&json=true","fetch_graph":"https://pith.science/api/pith-number/LK3YDNY6FRS6VGZD466CW5MQT3/graph.json","fetch_events":"https://pith.science/api/pith-number/LK3YDNY6FRS6VGZD466CW5MQT3/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LK3YDNY6FRS6VGZD466CW5MQT3/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LK3YDNY6FRS6VGZD466CW5MQT3/action/storage_attestation","attest_author":"https://pith.science/pith/LK3YDNY6FRS6VGZD466CW5MQT3/action/author_attestation","sign_citation":"https://pith.science/pith/LK3YDNY6FRS6VGZD466CW5MQT3/action/citation_signature","submit_replication":"https://pith.science/pith/LK3YDNY6FRS6VGZD466CW5MQT3/action/replication_record"}},"created_at":"2026-05-17T23:59:17.457135+00:00","updated_at":"2026-05-17T23:59:17.457135+00:00"}