United States Government Publishing Office publisher pbl distributor dst United States Nuclear Regulatory Commission author aut Government Organization Ma, Z. author aut text government publication eng GOVPUB Independent Establishments and Government Corporations legislative 2024-07-02 Nuclear Regulatory Commission 2022-01-01 monographic harvested born digital 117 digital object pages Y 3.N 88:25/7294 https://www.govinfo.gov/app/details/GOVPUB-Y3_N88-PURL-gpo177256 P0b002ee1c86dbc14 001177044 https://purl.fdlp.gov/GPO/gpo177256 (OCoLC)1411227661 DGPO 2024-07-02 2026-06-27 GOVPUB-Y3_N88-PURL-gpo177256 machine generated eng fdlp Y3_N88 GOVPUB-Y3_N88-PURL-gpo177256 PURL-gpo177256 GOVPUB This content was harvested from online sources of the original hosting or authoring agency and may not reflect current policy. As Federal agencies add publications to their websites, or report new publications to GPO per statutory mandate (44 U.S.C. §§ 1710, 1902-1903), GPO ensures long-term preservation of and access to the content. 2022 UNREPORTEDPUBSSTAFF PERM_INGEST_12292023 gpo177256 https://www.govinfo.gov/app/details/GOVPUB-Y3_N88-PURL-gpo177256 https://www.govinfo.gov/content/pkg/GOVPUB-Y3_N88-PURL-gpo177256/pdf/GOVPUB-Y3_N88-PURL-gpo177256.pdf Artificial intelligence Computer simulation Machine learning Mathematical models Nuclear industry Nuclear power plants Nuclear reactors Risk assessment Safety measures United States 1051-H-11 (online) Ma, Z. creator author. Idaho National Laboratory U.S. Nuclear Regulatory Commission Office of Nuclear Regulatory Research, issuing body. U.S. Nuclear Regulatory Commission Division of Risk Analysis, sponsoring body. dcu United States Nuclear Regulatory Commission, Office of Nuclear Regulatory Research 2022. monographic 1 online resource (approximately 117 pages) : illustrations (some color). Y 3.N 88:25/7294 1051-H-11 (online) text bibliography eng prepared by Z. Ma [and 4 others]. "INL/EXT-21-61117." "Manuscript Completed: September 2021." "Date Published: February 2022." In scope of the U.S. Government Publishing Office Cataloging and Indexing Program (C&I) and Federal Depository Library Program (FDLP). "Performing organization: Idaho National Laboratory"--Bibliographic data sheet. "Sponsoring organization: Division of Risk Analysis, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission"--Bibliographic data sheet. Includes bibliographical references (pages 77-90). IAA-31310019N0006 Technical n-us--- Nuclear power plants Computer simulation Nuclear power plants Risk assessment United States Artificial intelligence Mathematical models Machine learning Mathematical models Nuclear industry United States Nuclear reactors United States Safety measures https://purl.fdlp.gov/GPO/gpo177256 https://www.nrc.gov/docs/ML2204/ML22042A662.pdf