New direction of nuclear code development: Artificial intelligence

Lianshan Lin, Xing Wang

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations

Abstract

It has been a long-lasting aspiration of the nuclear power community to apply artificial intelligence (AI) technologies to nuclear power plants (NPPs), as AI is expected to substantially improve the efficiency, reliability, and continuity of NPPs. Along with the recent rise of AI featured with machining learning, there is an ever-increasing interest in utilizing the data-orientated technologies for nuclear power. In this chapter, we provide a brief summary of the history of AI and the previous efforts on introducing AI to nuclear reactor systems in 1980s. These histories suggest that although with a promising future, AI in NPPs also faces unique challenges, which are still not fully addressed and need special attention. We also introduced some recent studies that apply machine learning techniques to nuclear code development.

Original languageEnglish (US)
Title of host publicationNuclear Power Plant Design and Analysis Codes
Subtitle of host publicationDevelopment, Validation, and Application
PublisherElsevier
Pages543-551
Number of pages9
ISBN (Electronic)9780128181904
DOIs
StatePublished - Jan 1 2020

All Science Journal Classification (ASJC) codes

  • General Engineering

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