
Machine learning analysis of the dynamic STEM data allows extracting the time trajectories of point defects, from which thermodynamics and kinetics of solid state reactions can elucidated on a single-defect level.
Scientific Achievement
Determined the kinetics of solid-state reactions by dynamic observations one defect at a time.
Significance and Impact
This work enables understanding solid state reactions in 2D materials, a key step towards developing applications in electronic and quantum materials.