Anisotropic Surface State Band Splitting and Low Energy Flat Bands in 3d Correlated Topological Kondo Insulator Candidate FeSb
arXiv:2609.24854 · doi:10.1088/1674-1056/ae6d9f
Abstract
FeSb is a correlated narrow-gap semiconductor that has often been discussed as a -electron Kondo insulator candidate and exhibits a low-temperature resistance plateau with possible surface-dominated conduction. We carried out a systematic high-resolution laser-based angle-resolved photoemission spectroscopy (ARPES) study of FeSb to investigate its electronic structure. The surface states around the zone center show clear anisotropic splitting. When the temperature is lowered into the resistance plateau regime (), the surface states remain robust, but their photoemission peaks become much sharper and gain spectral weight. Two distinct flat-band-like features are observed at low energy. One is located at 127 meV below the Fermi level, which exists only along a specific high-symmetry direction, while the other is located at 70 meV below the Fermi level and is present along all the measured momentum cuts around the zone center. These results provide new information to understand the renormalization effects, the resistance plateau, and the topological nature of FeSb.
18 pages, 6 figures
References in corpus (9)
- Correlated Topological Insulators with Mixed Valence
- Development of a Vacuum Ultra-Violet Laser-Based Angle-Resolved Photoemission System with a Super-High Energy Resolution Better Than 1 meV
- Direct observation of the spin texture in strongly correlated SmB6 as evidence of the topological Kondo insulator
- Unified picture for the colossal thermopower compound FeSb
- Topological surface conduction in Kondo insulator YbB
- Vacancy defect control of colossal thermopower in FeSb2
- Resistivity saturation in Kondo insulators
- Extraordinary Bulk Insulating Behavior in the Strongly Correlated Materials FeSi and FeSb
- Expansion of Momentum Space and Full 2 Solid Angle Photoelectron Collection in Laser-Based Angle-Resolved Photoemission Spectroscopy by Applying Sample Bias