collaborators

1 paper

cond-mat.supr-con2026

Machine learning protocol to identify pairing symmetries via quasiparticle interference imaging in Ising superconductors

Adam Hložný, Jozef Haniš, Martin Gmitra +1

Identifying the pairing symmetry in unconventional superconductors is essential for reliably characterizing their superconducting states and for enabling their integration into rea…