Machine Learning Prediction of Fracture Toughness in Hydrogen-charged Stainless Steels

  • Eric Hoar
  • , Dale Hitchcock
  • , Timothy Krentz
  • , Lindsay Roy

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations
Original languageEnglish
Pages (from-to)338-341
Number of pages4
JournalTransactions of the American Nuclear Society
Volume128
DOIs
StatePublished - 2023
Externally publishedYes
Event2023 Transactions of the American Nuclear Society Annual Meeting and Technology Expo, ANS 2023 - Indianapolis, United States
Duration: Jun 11 2023Jun 14 2023

Funding

This work was produced by Battelle Savannah River Alliance, LLC under Contract No. 98 303321CEM000008 with the U.S. Department of Energy.

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