Equipping machine learning with uncertainty quantification to update probabilistic risk assessment of nuclear power plants using nrc licensee event reports

Jaemin Yang, Pegah Farshadmanesh, Tatsuya Sakurahara, Justin Pence, Seyed Reihani, Catherine Blake, Zalira Mohaghegh

Research output: Contribution to journalConference articlepeer-review

Original languageEnglish (US)
Pages (from-to)280-283
Number of pages4
JournalTransactions of the American Nuclear Society
Issue number1
StatePublished - 2020
Event2020 Transactions of the American Nuclear Society Winter Meeting, ANS 2020 - Virtual, Online, United States
Duration: Nov 16 2020Nov 20 2020

ASJC Scopus subject areas

  • Nuclear Energy and Engineering
  • Safety, Risk, Reliability and Quality

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