Learning pairing symmetries in disordered superconductors using spin-polarized local density of states

Learning pairing symmetries in disordered superconductors using spin-polarized local density of states

We construct an artificial neural network to study the pairing symmetries in disordered superconductors. For Hamiltonians on square lattice with s-wave, d-wave, and nematic pairing potentials, we use the spin-polarized local density of states near a magnetic impurity in the clean system to train the...

Full description

Bibliographic Details
Main Authors: Liang Chen, Chen-Xi Wang, Rong-Sheng Han, Ye-Qi Zhang
Format: Article
Language:English
Published: IOP Publishing 2020-01-01
Series:New Journal of Physics
Subjects:
pairing symmetry
spin-polarized spectroscopy
machine learning
Online Access:https://doi.org/10.1088/1367-2630/ab8261

Similar Items

Similar Items