Data-driven methodology for predicting isotope production at material testing reactors

Jorge Navarro, Josh Peterson-Droogh, Brian Gross, Richard Howard, Wilson Cowherd, Carla Dwight

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations
Original languageEnglish
Pages (from-to)241-245
Number of pages5
JournalTransactions of the American Nuclear Society
Volume120
StatePublished - 2019
Event2019 Transactions of the American Nuclear Society, ANS 2019 - Minneapolis, United States
Duration: Jun 9 2019Jun 13 2019

Funding

This manuscript has been authored in part by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).

FundersFunder number
U.S. Department of Energy

    Cite this