Plasmon energy losses in shear bands of metallic glass
This work reveals subtle energy shifts of the Plasmon peak in sheared zones of a metallic glass elaborated by automated routines based on an open source python module (Hyperspy). The signals are characteristic fingerprints and therefore suitable to visualize deformation features in amorphous materials such as shear bands. A model is presented based on Baym theory that suggests two reasons for the plasmon energy shifts.
M. Grove, M. Peterlechner, H. Rösner, R. Imlau, A. Zaccone, G. Wilde