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Yuchen Jiang

Computational Magnetohydrodynamics (MHD) Engineer

Yuchen Jiang is currently an early career researcher working on nuclear fusion blanket research and development (R&D), Magnetohydrodynamics (MHD) phenomenon investigation and Liquid Metal Plasma Facing Component (LM PFC) simulation. He obtained his Ph.D. in mechanical engineering from UCLA in 2023, with a major in fluid mechanics and a minor in heat and mass transfer. He has the knowledge of numerical methods (finite difference, finite volume), computational fluid dynamics (CFD), and is familiar with coding (Fortran, C, C++, MATLAB, Python, Java) and CAE tools (UG NX, SolidWorks, AutoCAD). He employs multiple multiphysics tools such as COMSOL, OpenFOAM, ANSYS CFX, Fluent and MOOSE framework. His previous and current research are focused on establishment, validation and verification (V&V), and utilization of computational models for liquid metal related applications in fusion reactor design and analysis, such as blanket and divertor.

During his free time, he likes hiking, playing table tennis, billiards, pickleball etc.