More Details

Author/Creator:

Ma, Z. , author

Contributors:

Idaho National Laboratory

U.S. Nuclear Regulatory Commission > Office of Nuclear Regulatory Research , issuing body, http://id.loc.gov/vocabulary/relators/isb

U.S. Nuclear Regulatory Commission > Division of Risk Analysis , sponsoring body

Languages:

English

Language Notes:

Item content: English

Main Work:

Exploring advanced computational tools and techniques with artificial intelligence and machine learning in operating nuclear plants [by Ma, Z.]

Related Series:

NUREG/CR

Subjects:

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

Nuclear power plants

Nuclear power plants — Risk assessment

Artificial intelligence

Machine learning

Nuclear industry

Nuclear reactors — Safety measures

Nuclear reactors

United States

General Notes:

"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).
Technical
IAA-31310019N0006
Description based on online resource; title from PDF title page (NRC, viewed Dec. 1, 2023).

Physical Description:

1 online resource (approximately 117 pages) : illustrations (some color).

Digital Characteristics:

text file

Call Numbers:

Y 3.N 88:25/7294

SuDocs Numbers:

Y 3.N 88:25/7294

Other Standard Numbers:

Government Printing Office Item Number: 1051-H-11 (online)

OCLC Numbers:

1411227661