Machine learning-based critical heat flux predictors in subcooled and low-quality flow boiling

Xingang Zhao, Robert K. Salko, Koroush Shirvan

Research output: Contribution to conferencePaperpeer-review

7 Scopus citations
Original languageEnglish
Pages945-948
Number of pages4
StatePublished - 2018
EventInternational Topical Meeting on Advances in Thermal Hydraulics 2018, ATH 2018 - Held in conjunction with the 2018 American Nuclear Society (ANS) Winter Meeting - Orlando, United States
Duration: Nov 11 2018Nov 15 2018

Conference

ConferenceInternational Topical Meeting on Advances in Thermal Hydraulics 2018, ATH 2018 - Held in conjunction with the 2018 American Nuclear Society (ANS) Winter Meeting
Country/TerritoryUnited States
CityOrlando
Period11/11/1811/15/18

Funding

Notice: This manuscript has been authored 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.

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