Education

• Ph.D., Nuclear Engineering, Massachusetts Institute of Technology, 2021
• B.S., Nuclear Science and Technology, University of Science and Technology of China, 2015

Background

Yifeng Che is an Assistant Professor in the Nuclear & Radiological Engineering and Medical Physics Program at the George W. Woodruff School of Mechanical Engineering at Georgia Institute of Technology. Her research centers on multiphysics modeling & simulation (M&S) of advanced nuclear reactors, with a special emphasis on nuclear fuel performance. Her research group also develops and integrates Artificial Intelligence (AI) and Machine Learning (ML) algorithms into M&S of nuclear reactors, focusing on multiscale model development, multiphysics coupling, and design optimization.

Before joining Georgia Tech, Che was a staff scientist at Idaho National Laboratory (INL) in the Nuclear Fuels and Materials Division. She was the recipient of the Russell L. Heath Distinguished Postdoctoral Award during her postdoctoral training at INL. Che received her doctorate in Nuclear Engineering from Massachusetts Institute of Technology and her bachelor’s degree in Nuclear Science and Technology from University of Science and Technology of China.

Research

Che's research interests include fuel performance modeling, multiscale multiphysics M&S of advanced reactors, and AI/ML applications in nuclear reactors. Her AI/ML research focuses on (1) calibration, validation, data assimilation, uncertainty analysis; (2) Bayesian inference; (3) reduced-order modeling; (4) design of experiments; and (5) optimization techniques.