{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:S7HKMN7JOUK5B34Y4FNGC46U4U","short_pith_number":"pith:S7HKMN7J","schema_version":"1.0","canonical_sha256":"97cea637e97515d0ef98e15a6173d4e511d2944c1a5cab141334e613d59c6d72","source":{"kind":"arxiv","id":"1709.05928","version":1},"attestation_state":"computed","paper":{"title":"The Mori-Zwanzig formalism for the derivation of a fluctuating heat conduction model from molecular dynamics","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cond-mat.stat-mech","authors_text":"Weiqi Chu, Xiantao Li","submitted_at":"2017-08-03T03:02:31Z","abstract_excerpt":"Energy transport equations are derived directly from full molecular dynamics models as coarse-grained description. With the local energy chosen as the coarse-grained variables, we apply the Mori-Zwanzig formalism to derive a reduced model, in the form of a generalized Langevin equation. A Markovian embedding technique is then introduced to eliminate the history dependence. In sharp contrast to conventional energy transport models, this derivation yields {\\it stochastic} dynamics models for the spatially averaged energy. We discuss the approximation of the random force using both additive and m"},"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":"1709.05928","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.stat-mech","submitted_at":"2017-08-03T03:02:31Z","cross_cats_sorted":[],"title_canon_sha256":"80fe86407229c1bf3a334c241764c08daee848cedbda2986d6cb9841a96eedfb","abstract_canon_sha256":"e8dab82ee15aa786158ebb5befa1ee9c0578ef27d5c8511dab22ba08bc3c23c9"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:34:58.829281Z","signature_b64":"10HgDbuS9vfwNlAg5f5CKUQdzqgpTePEWwslustWVkU8wx40+oCqOpzfRYeC5tVMGHxxbmNob6jWN+nLI/xaBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"97cea637e97515d0ef98e15a6173d4e511d2944c1a5cab141334e613d59c6d72","last_reissued_at":"2026-05-18T00:34:58.828450Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:34:58.828450Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"The Mori-Zwanzig formalism for the derivation of a fluctuating heat conduction model from molecular dynamics","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cond-mat.stat-mech","authors_text":"Weiqi Chu, Xiantao Li","submitted_at":"2017-08-03T03:02:31Z","abstract_excerpt":"Energy transport equations are derived directly from full molecular dynamics models as coarse-grained description. With the local energy chosen as the coarse-grained variables, we apply the Mori-Zwanzig formalism to derive a reduced model, in the form of a generalized Langevin equation. A Markovian embedding technique is then introduced to eliminate the history dependence. In sharp contrast to conventional energy transport models, this derivation yields {\\it stochastic} dynamics models for the spatially averaged energy. We discuss the approximation of the random force using both additive and m"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.05928","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":"1709.05928","created_at":"2026-05-18T00:34:58.828602+00:00"},{"alias_kind":"arxiv_version","alias_value":"1709.05928v1","created_at":"2026-05-18T00:34:58.828602+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.05928","created_at":"2026-05-18T00:34:58.828602+00:00"},{"alias_kind":"pith_short_12","alias_value":"S7HKMN7JOUK5","created_at":"2026-05-18T12:31:43.269735+00:00"},{"alias_kind":"pith_short_16","alias_value":"S7HKMN7JOUK5B34Y","created_at":"2026-05-18T12:31:43.269735+00:00"},{"alias_kind":"pith_short_8","alias_value":"S7HKMN7J","created_at":"2026-05-18T12:31:43.269735+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/S7HKMN7JOUK5B34Y4FNGC46U4U","json":"https://pith.science/pith/S7HKMN7JOUK5B34Y4FNGC46U4U.json","graph_json":"https://pith.science/api/pith-number/S7HKMN7JOUK5B34Y4FNGC46U4U/graph.json","events_json":"https://pith.science/api/pith-number/S7HKMN7JOUK5B34Y4FNGC46U4U/events.json","paper":"https://pith.science/paper/S7HKMN7J"},"agent_actions":{"view_html":"https://pith.science/pith/S7HKMN7JOUK5B34Y4FNGC46U4U","download_json":"https://pith.science/pith/S7HKMN7JOUK5B34Y4FNGC46U4U.json","view_paper":"https://pith.science/paper/S7HKMN7J","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1709.05928&json=true","fetch_graph":"https://pith.science/api/pith-number/S7HKMN7JOUK5B34Y4FNGC46U4U/graph.json","fetch_events":"https://pith.science/api/pith-number/S7HKMN7JOUK5B34Y4FNGC46U4U/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/S7HKMN7JOUK5B34Y4FNGC46U4U/action/timestamp_anchor","attest_storage":"https://pith.science/pith/S7HKMN7JOUK5B34Y4FNGC46U4U/action/storage_attestation","attest_author":"https://pith.science/pith/S7HKMN7JOUK5B34Y4FNGC46U4U/action/author_attestation","sign_citation":"https://pith.science/pith/S7HKMN7JOUK5B34Y4FNGC46U4U/action/citation_signature","submit_replication":"https://pith.science/pith/S7HKMN7JOUK5B34Y4FNGC46U4U/action/replication_record"}},"created_at":"2026-05-18T00:34:58.828602+00:00","updated_at":"2026-05-18T00:34:58.828602+00:00"}