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This paper mainly reviews the research progress on multiphase flow in nuclear engineering. This paper is composed of three parts. The first part documents a literature statistical analysis based on publications, mainly the SCIE-indexed papers collected in the Web of Science. The analysis data of publications on multiphase flows showcase the prosperous future of the current Experimental and Computational Multiphase Flow journal. The second part summarizes advanced measurement technology and microscale and nanoscale multiphase flow research in terms of modeling and algorithms. The third part reviews the current progress in multiphase flow-related research in nuclear engineering. Various aspects of solid–liquid, gas–liquid, and gas–particle flows, in particular, critical heat flux research and deep learning applications in nuclear engineering, have been extensively reviewed. This paper aims to explore multiphase flow research in the future in the nuclear and its related disciplines through the analysis and review of cutting-edge research and development states.
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