{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:Y7WUM3RHLI3JUYC2RHDOSEJZUF","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"b10375cd708a96c0c608bad1de713895cd33b86b97645605e9da179ea66e7545","cross_cats_sorted":["cond-mat.stat-mech","physics.comp-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-01-29T15:52:11Z","title_canon_sha256":"386f38b2092492e99ba3e7026bceba9444d173bf3e025b963e1a373e1ae7d192"},"schema_version":"1.0","source":{"id":"2401.16249","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.16249","created_at":"2026-07-05T08:11:57Z"},{"alias_kind":"arxiv_version","alias_value":"2401.16249v2","created_at":"2026-07-05T08:11:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.16249","created_at":"2026-07-05T08:11:57Z"},{"alias_kind":"pith_short_12","alias_value":"Y7WUM3RHLI3J","created_at":"2026-07-05T08:11:57Z"},{"alias_kind":"pith_short_16","alias_value":"Y7WUM3RHLI3JUYC2","created_at":"2026-07-05T08:11:57Z"},{"alias_kind":"pith_short_8","alias_value":"Y7WUM3RH","created_at":"2026-07-05T08:11:57Z"}],"graph_snapshots":[{"event_id":"sha256:99ad2f64a4a56f275d7ff0c4706380186d394527f9be7e23b234523cf237b234","target":"graph","created_at":"2026-07-05T08:11:57Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2401.16249/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Molecular dynamics (MD) simulations play an important role in understanding and engineering heat transport properties of complex materials. An essential requirement for reliably predicting heat transport properties is the use of accurate and efficient interatomic potentials. Recently, machine-learned potentials (MLPs) have shown great promise in providing the required accuracy for a broad range of materials. In this mini review and tutorial, we delve into the fundamentals of heat transport, explore pertinent MD simulation methods, and survey the applications of MLPs in MD simulations of heat t","authors_text":"Haikuan Dong, Ke Xu, Penghua Ying, Shiyun Xiong, Shunda Chen, Ting Liang, Wenjiang Zhou, Xin Wu, Yanzhou Wang, Yongbo Shi, Zezhu Zeng, Zheyong Fan","cross_cats":["cond-mat.stat-mech","physics.comp-ph"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-01-29T15:52:11Z","title":"Molecular dynamics simulations of heat transport using machine-learned potentials: A mini review and tutorial on GPUMD with neuroevolution potentials"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.16249","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:b44da6152f181949e03c80fcf714825dab520c1fc8d3adf0b9b7ab9e1dd1979d","target":"record","created_at":"2026-07-05T08:11:57Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"b10375cd708a96c0c608bad1de713895cd33b86b97645605e9da179ea66e7545","cross_cats_sorted":["cond-mat.stat-mech","physics.comp-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2024-01-29T15:52:11Z","title_canon_sha256":"386f38b2092492e99ba3e7026bceba9444d173bf3e025b963e1a373e1ae7d192"},"schema_version":"1.0","source":{"id":"2401.16249","kind":"arxiv","version":2}},"canonical_sha256":"c7ed466e275a369a605a89c6e91139a149afe58fbd5430bfba668122c150a1dc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c7ed466e275a369a605a89c6e91139a149afe58fbd5430bfba668122c150a1dc","first_computed_at":"2026-07-05T08:11:57.466105Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:11:57.466105Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AeLUtFGo92fsmmh976jxODq5u/RAKBi3NjyudjJlChRRJOIjtjXvXSXyT4qZVuQ04XJpI7By7g3rBkxdyU/DCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:11:57.466588Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.16249","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b44da6152f181949e03c80fcf714825dab520c1fc8d3adf0b9b7ab9e1dd1979d","sha256:99ad2f64a4a56f275d7ff0c4706380186d394527f9be7e23b234523cf237b234"],"state_sha256":"ad43a732a15c36103e2a1800b79e3441ad4f24df3512f9a44fe45d29e12e812b"}