{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:DL4FRJN3IP65FCYQZ4MHZAU72P","short_pith_number":"pith:DL4FRJN3","schema_version":"1.0","canonical_sha256":"1af858a5bb43fdd28b10cf187c829fd3fbedfa076a379f9adcc2c86af67815cb","source":{"kind":"arxiv","id":"2508.07100","version":1},"attestation_state":"computed","paper":{"title":"A Novel Computational Thermodynamics Framework with Intrinsic Chemical Short-Range Order","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.stat-mech"],"primary_cat":"cond-mat.mtrl-sci","authors_text":"Chuliang Fu","submitted_at":"2025-08-09T21:08:36Z","abstract_excerpt":"Chemical short-range order (SRO) provides new opportunities for tuning alloy properties, but conventional computational thermodynamics frameworks such as CALPHAD, based on Bragg-Williams mean-field approximations, cannot properly describe SRO or order-disorder transformations in multicomponent ($\\geq$3) alloys. First-principles approaches combined with the cluster variation method (CVM) or cluster expansion method (CEM) can capture SRO but suffer from high computational cost. Here we present a hybrid CVM-CALPHAD framework with a thermodynamic solid solution model named as FYL-CVM, enabled by t"},"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":"2508.07100","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2025-08-09T21:08:36Z","cross_cats_sorted":["cond-mat.stat-mech"],"title_canon_sha256":"f27f0133ff5a3ad2b5b9e2536d5271b287705996ea92f02a5a3af9895031c3c0","abstract_canon_sha256":"1eac692f9592335743a530d6f9de8bd960829b4094961eba3179c174171f5f63"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:51:40.813721Z","signature_b64":"ypk5JxH97a+IsS6jHZQctZxOFjwQJjPVIb7YMDyfs52z3HoUqkzqetUcuXfQUoJByWNguiJ4duMtEGqcEuXJBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1af858a5bb43fdd28b10cf187c829fd3fbedfa076a379f9adcc2c86af67815cb","last_reissued_at":"2026-07-05T11:51:40.812884Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:51:40.812884Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Novel Computational Thermodynamics Framework with Intrinsic Chemical Short-Range Order","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.stat-mech"],"primary_cat":"cond-mat.mtrl-sci","authors_text":"Chuliang Fu","submitted_at":"2025-08-09T21:08:36Z","abstract_excerpt":"Chemical short-range order (SRO) provides new opportunities for tuning alloy properties, but conventional computational thermodynamics frameworks such as CALPHAD, based on Bragg-Williams mean-field approximations, cannot properly describe SRO or order-disorder transformations in multicomponent ($\\geq$3) alloys. First-principles approaches combined with the cluster variation method (CVM) or cluster expansion method (CEM) can capture SRO but suffer from high computational cost. Here we present a hybrid CVM-CALPHAD framework with a thermodynamic solid solution model named as FYL-CVM, enabled by t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.07100","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/2508.07100/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2508.07100","created_at":"2026-07-05T11:51:40.812937+00:00"},{"alias_kind":"arxiv_version","alias_value":"2508.07100v1","created_at":"2026-07-05T11:51:40.812937+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.07100","created_at":"2026-07-05T11:51:40.812937+00:00"},{"alias_kind":"pith_short_12","alias_value":"DL4FRJN3IP65","created_at":"2026-07-05T11:51:40.812937+00:00"},{"alias_kind":"pith_short_16","alias_value":"DL4FRJN3IP65FCYQ","created_at":"2026-07-05T11:51:40.812937+00:00"},{"alias_kind":"pith_short_8","alias_value":"DL4FRJN3","created_at":"2026-07-05T11:51:40.812937+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/DL4FRJN3IP65FCYQZ4MHZAU72P","json":"https://pith.science/pith/DL4FRJN3IP65FCYQZ4MHZAU72P.json","graph_json":"https://pith.science/api/pith-number/DL4FRJN3IP65FCYQZ4MHZAU72P/graph.json","events_json":"https://pith.science/api/pith-number/DL4FRJN3IP65FCYQZ4MHZAU72P/events.json","paper":"https://pith.science/paper/DL4FRJN3"},"agent_actions":{"view_html":"https://pith.science/pith/DL4FRJN3IP65FCYQZ4MHZAU72P","download_json":"https://pith.science/pith/DL4FRJN3IP65FCYQZ4MHZAU72P.json","view_paper":"https://pith.science/paper/DL4FRJN3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2508.07100&json=true","fetch_graph":"https://pith.science/api/pith-number/DL4FRJN3IP65FCYQZ4MHZAU72P/graph.json","fetch_events":"https://pith.science/api/pith-number/DL4FRJN3IP65FCYQZ4MHZAU72P/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/DL4FRJN3IP65FCYQZ4MHZAU72P/action/timestamp_anchor","attest_storage":"https://pith.science/pith/DL4FRJN3IP65FCYQZ4MHZAU72P/action/storage_attestation","attest_author":"https://pith.science/pith/DL4FRJN3IP65FCYQZ4MHZAU72P/action/author_attestation","sign_citation":"https://pith.science/pith/DL4FRJN3IP65FCYQZ4MHZAU72P/action/citation_signature","submit_replication":"https://pith.science/pith/DL4FRJN3IP65FCYQZ4MHZAU72P/action/replication_record"}},"created_at":"2026-07-05T11:51:40.812937+00:00","updated_at":"2026-07-05T11:51:40.812937+00:00"}