Data for: On the prediction of critical heat flux using a physics-informed machine learning-aided framework
Published: 1 October 2020| Version 1 | DOI: 10.17632/5p5h37tyv7.1
Contributor:
Xingang ZhaoDescription
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).
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Mechanical Engineering, Nuclear Engineering, Thermal Engineering, Thermal Hydraulics