Xicheng Wang

Xicheng Wang is a Researcher (Postdoc) in the Division of Nuclear Science and Engineering, Department of Physics at KTH Royal Institute of Technology. His research focuses on computational fluid dynamics (CFD) and system-level code analysis of thermal-hydraulic phenomena in nuclear reactor safety, including thermal stratification, steam injection effects, and suppression pool dynamics. Since 2022, he has explored machine learning applications in nuclear engineering.

Education:

• Ph.D. in Nuclear Engineering, KTH Royal Institute of Technology (2025)
• M.Sc. in Nuclear Energy Engineering, Tsinghua University (China) and KTH (Sweden, dual program)

Research Interests:

• CFD modeling of thermal-hydraulic phenomena
• Development of effective momentum/heat transfer models for nuclear reactor safety
• Machine learning integration for predictive safety analysis
• Experimental validation of suppression pool behavior
• Dynamic analysis of fuel assemblies and transport casks

Advising & Grants:

• No formal advisees listed
• Contributions to projects like PANDA/PPOOLEX experimental campaigns

Labs/Teams: Active in the Division of Nuclear Science and Engineering’s thermal-hydraulics research group, focusing on reactor safety and CFD-experiment correlations.