A computational workflow centered on probabilistic machine learning is developed to reconstruct the energy dispersion from photoemission band-mapping data. The workflow uncovers previously inaccessible momentum-space structural information at scale.
- R. Patrick Xian
- Vincent Stimper
- Ralph Ernstorfer