Predicting-Critical-Heat-Flux
OpenML dataset with id 43671
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Full work available at URL: https://api.openml.org/data/v1/download/22102496/Predicting-Critical-Heat-Flux.arff
Upload date: 24 March 2022
Dataset Characteristics
Number of features: 9 (numeric: 7, symbolic: 0 and in total binary: 0 )
Number of instances: 1,865
Number of instances with missing values: 0
Number of missing values: 0
Context
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.
Acknowledgements
Zhao, Xingang (2020), Data for: On the prediction of critical heat flux using a physics-informed machine learning-aided framework, Mendeley Data, V1, doi: 10.17632/5p5h37tyv7.1
This page was built for dataset: Predicting-Critical-Heat-Flux
