Hyojin Kim | 20-FS-010
Executive Summary
We are developing a machine learning technique to demonstrate the feasibility of using dynamic x-ray computed tomography to reconstruct time-sequential images representing motion and deformation during the non-destructive evaluation of objects. If successful, this research will be broadly applicable across many national missions, including nuclear weapons inspection and the study of material deformation and dynamics in geoscience and additive manufacturing.
