{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:HO33HZP2IEOIAFH33IIQSYVGH2","short_pith_number":"pith:HO33HZP2","schema_version":"1.0","canonical_sha256":"3bb7b3e5fa411c8014fbda110962a63e9270f270ce6ec17a4f446574418cf6e8","source":{"kind":"arxiv","id":"1906.05398","version":2},"attestation_state":"computed","paper":{"title":"Self-driving laboratory for accelerated discovery of thin-film materials","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.mtrl-sci"],"primary_cat":"physics.app-ph","authors_text":"Al\\'an Aspuru-Guzik, Benjamin P. MacLeod, Curtis P. Berlinguette, David J. Dvorak, Florian H\\\"ase, Fraser G. L. Parlane, Gordon J. Ng, Henry Situ, Jason E. Hein, Joseph R. Deeth, Kevan E. Dettelbach, Lars P. E. Yunker, Lo\\\"ic M. Roch, Michael B. Rooney, Michael S. Elliott, Raphaell Moreira, Ray H. Zhang, Ted H. Haley, Thomas D. Morrissey, Veronica Lai","submitted_at":"2019-06-12T21:53:51Z","abstract_excerpt":"Discovering and optimizing commercially viable materials for clean energy applications typically takes over a decade. Self-driving laboratories that iteratively design, execute, and learn from material science experiments in a fully autonomous loop present an opportunity to accelerate this research. We report here a modular robotic platform driven by a model-based optimization algorithm capable of autonomously optimizing the optical and electronic properties of thin-film materials by modifying the film composition and processing conditions. We demonstrate this platform by using it to maximize "},"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":"1906.05398","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.app-ph","submitted_at":"2019-06-12T21:53:51Z","cross_cats_sorted":["cond-mat.mtrl-sci"],"title_canon_sha256":"d35a525d6d5f743305a663da96ab892da008f78da361c7eea7e27fd824612370","abstract_canon_sha256":"c98d11d4bac90ec1b12d4645177922d145d4f34be6359786d625c442c89ede3c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:46:46.222169Z","signature_b64":"Bl08koVyU101mguuoIMmUjxUyq0HzpIFZu4ypGwXewZIoulDwAcf3upJZ923GUcdH1YMtOw+MmRLLlzgYPXpBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3bb7b3e5fa411c8014fbda110962a63e9270f270ce6ec17a4f446574418cf6e8","last_reissued_at":"2026-07-05T00:46:46.221680Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:46:46.221680Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Self-driving laboratory for accelerated discovery of thin-film materials","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.mtrl-sci"],"primary_cat":"physics.app-ph","authors_text":"Al\\'an Aspuru-Guzik, Benjamin P. MacLeod, Curtis P. Berlinguette, David J. Dvorak, Florian H\\\"ase, Fraser G. L. Parlane, Gordon J. Ng, Henry Situ, Jason E. Hein, Joseph R. Deeth, Kevan E. Dettelbach, Lars P. E. Yunker, Lo\\\"ic M. Roch, Michael B. Rooney, Michael S. Elliott, Raphaell Moreira, Ray H. Zhang, Ted H. Haley, Thomas D. Morrissey, Veronica Lai","submitted_at":"2019-06-12T21:53:51Z","abstract_excerpt":"Discovering and optimizing commercially viable materials for clean energy applications typically takes over a decade. Self-driving laboratories that iteratively design, execute, and learn from material science experiments in a fully autonomous loop present an opportunity to accelerate this research. We report here a modular robotic platform driven by a model-based optimization algorithm capable of autonomously optimizing the optical and electronic properties of thin-film materials by modifying the film composition and processing conditions. We demonstrate this platform by using it to maximize "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.05398","kind":"arxiv","version":2},"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/1906.05398/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":"1906.05398","created_at":"2026-07-05T00:46:46.221738+00:00"},{"alias_kind":"arxiv_version","alias_value":"1906.05398v2","created_at":"2026-07-05T00:46:46.221738+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.05398","created_at":"2026-07-05T00:46:46.221738+00:00"},{"alias_kind":"pith_short_12","alias_value":"HO33HZP2IEOI","created_at":"2026-07-05T00:46:46.221738+00:00"},{"alias_kind":"pith_short_16","alias_value":"HO33HZP2IEOIAFH3","created_at":"2026-07-05T00:46:46.221738+00:00"},{"alias_kind":"pith_short_8","alias_value":"HO33HZP2","created_at":"2026-07-05T00:46:46.221738+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/HO33HZP2IEOIAFH33IIQSYVGH2","json":"https://pith.science/pith/HO33HZP2IEOIAFH33IIQSYVGH2.json","graph_json":"https://pith.science/api/pith-number/HO33HZP2IEOIAFH33IIQSYVGH2/graph.json","events_json":"https://pith.science/api/pith-number/HO33HZP2IEOIAFH33IIQSYVGH2/events.json","paper":"https://pith.science/paper/HO33HZP2"},"agent_actions":{"view_html":"https://pith.science/pith/HO33HZP2IEOIAFH33IIQSYVGH2","download_json":"https://pith.science/pith/HO33HZP2IEOIAFH33IIQSYVGH2.json","view_paper":"https://pith.science/paper/HO33HZP2","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1906.05398&json=true","fetch_graph":"https://pith.science/api/pith-number/HO33HZP2IEOIAFH33IIQSYVGH2/graph.json","fetch_events":"https://pith.science/api/pith-number/HO33HZP2IEOIAFH33IIQSYVGH2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/HO33HZP2IEOIAFH33IIQSYVGH2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/HO33HZP2IEOIAFH33IIQSYVGH2/action/storage_attestation","attest_author":"https://pith.science/pith/HO33HZP2IEOIAFH33IIQSYVGH2/action/author_attestation","sign_citation":"https://pith.science/pith/HO33HZP2IEOIAFH33IIQSYVGH2/action/citation_signature","submit_replication":"https://pith.science/pith/HO33HZP2IEOIAFH33IIQSYVGH2/action/replication_record"}},"created_at":"2026-07-05T00:46:46.221738+00:00","updated_at":"2026-07-05T00:46:46.221738+00:00"}