{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:HVWYWOV5NTNF25W6PBYCS3T4DQ","short_pith_number":"pith:HVWYWOV5","schema_version":"1.0","canonical_sha256":"3d6d8b3abd6cda5d76de7870296e7c1c21490bcd9fe01e2a3dbaf2c0108325ff","source":{"kind":"arxiv","id":"2405.13635","version":1},"attestation_state":"computed","paper":{"title":"Machine Learning Force Field for Thermal Oxidation of Silicon","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cond-mat.mtrl-sci","authors_text":"Christoph Wilhelmer, Diego Milardovich, Dominic Waldh\\\"or, Franz Fehringer, Lukas Cvitkovich, Tibor Grasser","submitted_at":"2024-05-22T13:34:44Z","abstract_excerpt":"Looking back at seven decades of highly extensive application in the semiconductor industry, silicon and its native oxide SiO$_2$ are still at the heart of several technological developments. Recently, the fabrication of ultra-thin oxide layers has become essential for keeping up with trends in down-scaling of nanoelectronic devices and for the realization of novel device technologies. With this comes a need for better understanding of the atomic configuration at the Si/SiO$_2$ interface. Classical force fields offer flexible application and relatively low computational costs, however, suffer "},"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":"2405.13635","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-05-22T13:34:44Z","cross_cats_sorted":[],"title_canon_sha256":"2188695aefadb2ffb100f59f277f202e5a150953cf0949224ce1bc64280f5966","abstract_canon_sha256":"495e1036a1685183a49f34bc4a982f8cbe3c75994a74ab774dbc49385bf7203c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:27:00.673703Z","signature_b64":"gk52PjLeWsIp9vAU2bvAkIyc32fjo68h2qNJZ6R9KlnhAbvycCqS6ckDsm4GpkuuNuKhzoJIWQvOf8F5K7rKCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3d6d8b3abd6cda5d76de7870296e7c1c21490bcd9fe01e2a3dbaf2c0108325ff","last_reissued_at":"2026-07-05T09:27:00.673139Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:27:00.673139Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Machine Learning Force Field for Thermal Oxidation of Silicon","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cond-mat.mtrl-sci","authors_text":"Christoph Wilhelmer, Diego Milardovich, Dominic Waldh\\\"or, Franz Fehringer, Lukas Cvitkovich, Tibor Grasser","submitted_at":"2024-05-22T13:34:44Z","abstract_excerpt":"Looking back at seven decades of highly extensive application in the semiconductor industry, silicon and its native oxide SiO$_2$ are still at the heart of several technological developments. Recently, the fabrication of ultra-thin oxide layers has become essential for keeping up with trends in down-scaling of nanoelectronic devices and for the realization of novel device technologies. With this comes a need for better understanding of the atomic configuration at the Si/SiO$_2$ interface. Classical force fields offer flexible application and relatively low computational costs, however, suffer "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.13635","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/2405.13635/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":"2405.13635","created_at":"2026-07-05T09:27:00.673205+00:00"},{"alias_kind":"arxiv_version","alias_value":"2405.13635v1","created_at":"2026-07-05T09:27:00.673205+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.13635","created_at":"2026-07-05T09:27:00.673205+00:00"},{"alias_kind":"pith_short_12","alias_value":"HVWYWOV5NTNF","created_at":"2026-07-05T09:27:00.673205+00:00"},{"alias_kind":"pith_short_16","alias_value":"HVWYWOV5NTNF25W6","created_at":"2026-07-05T09:27:00.673205+00:00"},{"alias_kind":"pith_short_8","alias_value":"HVWYWOV5","created_at":"2026-07-05T09:27:00.673205+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/HVWYWOV5NTNF25W6PBYCS3T4DQ","json":"https://pith.science/pith/HVWYWOV5NTNF25W6PBYCS3T4DQ.json","graph_json":"https://pith.science/api/pith-number/HVWYWOV5NTNF25W6PBYCS3T4DQ/graph.json","events_json":"https://pith.science/api/pith-number/HVWYWOV5NTNF25W6PBYCS3T4DQ/events.json","paper":"https://pith.science/paper/HVWYWOV5"},"agent_actions":{"view_html":"https://pith.science/pith/HVWYWOV5NTNF25W6PBYCS3T4DQ","download_json":"https://pith.science/pith/HVWYWOV5NTNF25W6PBYCS3T4DQ.json","view_paper":"https://pith.science/paper/HVWYWOV5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2405.13635&json=true","fetch_graph":"https://pith.science/api/pith-number/HVWYWOV5NTNF25W6PBYCS3T4DQ/graph.json","fetch_events":"https://pith.science/api/pith-number/HVWYWOV5NTNF25W6PBYCS3T4DQ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/HVWYWOV5NTNF25W6PBYCS3T4DQ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/HVWYWOV5NTNF25W6PBYCS3T4DQ/action/storage_attestation","attest_author":"https://pith.science/pith/HVWYWOV5NTNF25W6PBYCS3T4DQ/action/author_attestation","sign_citation":"https://pith.science/pith/HVWYWOV5NTNF25W6PBYCS3T4DQ/action/citation_signature","submit_replication":"https://pith.science/pith/HVWYWOV5NTNF25W6PBYCS3T4DQ/action/replication_record"}},"created_at":"2026-07-05T09:27:00.673205+00:00","updated_at":"2026-07-05T09:27:00.673205+00:00"}