Data for: On the prediction of critical heat flux using a physics-informed machine learning-aided framework

This dataset was prepared for the journal article entitled "On the prediction of critical heat flux using a physics-informed machine learning-aided framework" (doi: 10.1016/j.applthermaleng.2019.114540). The dataset contains processed and compiled records of experimental critical heat flux and boundary conditions used for the work presented in the article. Please refer to Table 1 of the article for raw data references (note that all data sources are non-proprietary).

Identifier
DOI https://doi.org/10.17632/5p5h37tyv7.1
PID https://nbn-resolving.org/urn:nbn:nl:ui:13-6z-c2fv
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:186462
Provenance
Creator Zhao, X
Publisher Data Archiving and Networked Services (DANS)
Contributor Xingang Zhao
Publication Year 2020
Rights info:eu-repo/semantics/openAccess; License: http://creativecommons.org/licenses/by/4.0; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Representation
Resource Type Dataset
Discipline Other