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).

本数据集系为发表于期刊的题为《基于物理信息机器学习辅助框架的临界热流密度（critical heat flux）预测》的学术论文所编制，该论文DOI编号为10.1016/j.applthermaleng.2019.114540。本数据集收录经处理与整合的实验临界热流密度记录，以及该论文所涉研究中使用的边界条件数据。如需查阅原始数据的来源，请参阅该论文的表1（注：所有数据来源均非专有）。