Bei Ye

Machine Learning-Assisted Calibration of Fission Gas Parameters in the DART Code for U-Mo Fuel

Accurate prediction of fission gas swelling in uranium-molybdenum (U-Mo) fuel is essential for fuel qualification. The primary objective of this work is to calibrate fission-gas-related DART parameters such that the model predictions match experimentally observed fission gas bubb...