معرفی
Yue Jin is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at the University of Missouri (Mizzou), where he also serves as the director of the Advanced Flow and Heat Transfer Lab (AFHTL). He previously held a postdoctoral research associate position at MIT before joining Mizzou in 2022 as part of a cohort of 14 new faculty members. His work is closely tied to the MU Research Reactor (MURR), the highest-powered university research reactor in the U.S., which provides a unique platform for his research in nuclear thermal hydraulics and clean energy systems.
- PhD, Pennsylvania State University (2019)
- MS, Shanghai Jiao Tong University
- BS, Xi’an Jiaotong University
Dr. Jin's research focuses on thermal-fluid sciences and nuclear engineering, particularly in fluid flow, heat and mass transfer, reactor thermal hydraulics, and the modeling of advanced energy systems such as compact heat exchangers and next-generation nuclear reactors. He is deeply involved in the development and validation of multi-scale, multi-physics numerical tools enhanced by artificial intelligence and machine learning. His lab conducts high-resolution experiments using advanced imaging techniques like S-PIV/LIF and laser diagnostics to study phenomena such as critical heat flux (CHF), droplet dynamics during reflood transients, and two-phase flow behavior in rod bundles.
His recent publications reveal a strong trend toward integrating physics-informed machine learning with traditional thermal-hydraulic modeling to improve prediction accuracy in complex systems. Topics include CHF modeling, reflood safety analysis, accident-tolerant fuels, and thermal striping in advanced reactors. His work bridges experimental validation with code development, particularly using tools like COBRA-TF and TRACE.
- Development of Innovative Physics-Informed Data-Driven Model for COBRA-TF CHF Prediction (MU Research Council)
- Advanced Reflood Thermal-Hydraulics for Uncertainty Resolution (NRC/Penn State)
- Midwest Industrial Assessment Center (Department of Energy)
- Massive Reflood Data Evaluation Using Machine Learning (NRC/Penn State)
Dr. Jin actively collaborates with researchers at MIT, Penn State, and General Atomics. He mentors graduate students and welcomes both graduate and undergraduate researchers to his lab. His research contributes to the global effort in clean energy sustainability and next-generation nuclear safety.
