{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:TPNJESKRYMET54FAPBQ7TSMT2I","short_pith_number":"pith:TPNJESKR","schema_version":"1.0","canonical_sha256":"9bda924951c3093ef0a07861f9c993d2248b2272053b74ebfea47fe0323fc19b","source":{"kind":"arxiv","id":"1702.08576","version":1},"attestation_state":"computed","paper":{"title":"A Tetrahedron-tiling Method for Crystal Structure Prediction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cond-mat.mtrl-sci","authors_text":"Axel van de Walle, Joseph Yasi, Qi-Jun Hong","submitted_at":"2017-02-27T23:09:52Z","abstract_excerpt":"Reliable and robust methods of predicting the crystal structure of a compound, based only on its chemical composition, is crucial to the study of materials and their applications. Despite considerable ongoing research efforts, crystal structure prediction remains a challenging problem that demands large computational resources. Here we propose an efficient approach for first-principles crystal structure prediction. The new method explores and finds crystal structures by tiling together elementary tetrahedra that are energetically favorable and geometrically matching each other. This approach h"},"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":"1702.08576","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2017-02-27T23:09:52Z","cross_cats_sorted":[],"title_canon_sha256":"e21e7f0d4f427f3cfb034e1e0008b0bff7998a2a928d7206e58f68e322ef43ca","abstract_canon_sha256":"945b3bbadaad364cfeabe1954f96c57e6b32fab2ff66f35dbfda67a5531fc4d8"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:39:36.763361Z","signature_b64":"Dm2iEyTwcZI66EjM33rkubmbj19V9usIKt8h/e8deFh8xLy1akcKsVcZ9yp4vRY/qOheLGp073ZRasYEdvhpBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9bda924951c3093ef0a07861f9c993d2248b2272053b74ebfea47fe0323fc19b","last_reissued_at":"2026-05-18T00:39:36.762703Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:39:36.762703Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Tetrahedron-tiling Method for Crystal Structure Prediction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cond-mat.mtrl-sci","authors_text":"Axel van de Walle, Joseph Yasi, Qi-Jun Hong","submitted_at":"2017-02-27T23:09:52Z","abstract_excerpt":"Reliable and robust methods of predicting the crystal structure of a compound, based only on its chemical composition, is crucial to the study of materials and their applications. Despite considerable ongoing research efforts, crystal structure prediction remains a challenging problem that demands large computational resources. Here we propose an efficient approach for first-principles crystal structure prediction. The new method explores and finds crystal structures by tiling together elementary tetrahedra that are energetically favorable and geometrically matching each other. This approach h"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.08576","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":""},"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":"1702.08576","created_at":"2026-05-18T00:39:36.762808+00:00"},{"alias_kind":"arxiv_version","alias_value":"1702.08576v1","created_at":"2026-05-18T00:39:36.762808+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1702.08576","created_at":"2026-05-18T00:39:36.762808+00:00"},{"alias_kind":"pith_short_12","alias_value":"TPNJESKRYMET","created_at":"2026-05-18T12:31:46.661854+00:00"},{"alias_kind":"pith_short_16","alias_value":"TPNJESKRYMET54FA","created_at":"2026-05-18T12:31:46.661854+00:00"},{"alias_kind":"pith_short_8","alias_value":"TPNJESKR","created_at":"2026-05-18T12:31:46.661854+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/TPNJESKRYMET54FAPBQ7TSMT2I","json":"https://pith.science/pith/TPNJESKRYMET54FAPBQ7TSMT2I.json","graph_json":"https://pith.science/api/pith-number/TPNJESKRYMET54FAPBQ7TSMT2I/graph.json","events_json":"https://pith.science/api/pith-number/TPNJESKRYMET54FAPBQ7TSMT2I/events.json","paper":"https://pith.science/paper/TPNJESKR"},"agent_actions":{"view_html":"https://pith.science/pith/TPNJESKRYMET54FAPBQ7TSMT2I","download_json":"https://pith.science/pith/TPNJESKRYMET54FAPBQ7TSMT2I.json","view_paper":"https://pith.science/paper/TPNJESKR","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1702.08576&json=true","fetch_graph":"https://pith.science/api/pith-number/TPNJESKRYMET54FAPBQ7TSMT2I/graph.json","fetch_events":"https://pith.science/api/pith-number/TPNJESKRYMET54FAPBQ7TSMT2I/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/TPNJESKRYMET54FAPBQ7TSMT2I/action/timestamp_anchor","attest_storage":"https://pith.science/pith/TPNJESKRYMET54FAPBQ7TSMT2I/action/storage_attestation","attest_author":"https://pith.science/pith/TPNJESKRYMET54FAPBQ7TSMT2I/action/author_attestation","sign_citation":"https://pith.science/pith/TPNJESKRYMET54FAPBQ7TSMT2I/action/citation_signature","submit_replication":"https://pith.science/pith/TPNJESKRYMET54FAPBQ7TSMT2I/action/replication_record"}},"created_at":"2026-05-18T00:39:36.762808+00:00","updated_at":"2026-05-18T00:39:36.762808+00:00"}