Marco Zech

Characterizing quasicrystals with neural networks [PDF]
finished 2026-03
supervised by Michael Schmiedeberg

AbstractThe thesis tackles the question whether phasonic flips in quasicrystals can be detected automatically by graph neural networks, i.e., based on a graph representation of such quasicrystals, and in particular which geometrical properties of such excitations will be relevant.