5 papers
Topology of critical chiral phases: multiband insulators and superconductors
Oleksandr Balabanov, Daniel Erkensten, Henrik Johannesson
Recent works have proved the existence of symmetry-protected edge states in certain one-dimensional topological band insulators and superconductors at the gap-closing points which…
Unsupervised interpretable learning of topological indices invariant under permutations of atomic bands
Oleksandr Balabanov, Mats Granath
Multi-band insulating Bloch Hamiltonians with internal or spatial symmetries, such as particle-hole or inversion, may have topologically disconnected sectors of trivial atomic-limi…
Unsupervised learning using topological data augmentation
Oleksandr Balabanov, Mats Granath
Unsupervised machine learning is a cornerstone of artificial intelligence as it provides algorithms capable of learning tasks, such as classification of data, without explicit huma…
Transport signatures of symmetry protection in 1D Floquet topological insulators
Oleksandr Balabanov, Henrik Johannesson
Time-periodic external drives have emerged as a powerful tool to artificially create topological phases of matter. Prime examples are Floquet topological insulators (FTIs), where a…
Transport through periodically driven systems: Green's function approach formulated within frequency domain
Oleksandr Balabanov
The steady-state electronic transport across periodically driven systems can be efficiently addressed using Landauer-Büttiker formalism. The time-dependent nonequilibrium Green's f…