Growth, characterization, and transport properties of ternary (Bi1-xSbx)2Te3 topological insulator layers
C. Weyrich, M. Dr\"ogeler, J. Kampmeier, M. Eschbach, G. Mussler, T., Merzenich, T. Stoica, I. E. Batov, J. Schubert, L. Plucinski, B. Beschoten,, C. M. Schneider, C. Stampfer, D. Gr\"utzmacher, Th. Sch\"apers

TL;DR
This study investigates the growth, composition, and electronic transport of (Bi1-xSbx)2Te3 topological insulator layers, demonstrating tunable Fermi levels and dual-channel conduction through molecular beam epitaxy and various spectroscopic and transport measurements.
Contribution
It provides a comprehensive analysis of how Sb content affects the structural and electronic properties of (Bi1-xSbx)2Te3 layers, including Fermi level tuning within the topological surface states.
Findings
Fermi level shifts from conduction to valence band with increasing Sb content
Transport occurs via two independent channels in the transition region
Fermi level can be tuned from n- to p-type using a gate electrode
Abstract
Ternary (Bi1-xSbx)2Te3 films with an Sb content between 0 and 100% were deposited on a Si(111) substrate by means of molecular beam epitaxy. X-ray diffraction measurements confirm single crystal growth in all cases. The Sb content is determined by X-ray photoelectron spectroscopy. Consistent values of the Sb content are obtained from Raman spectroscopy. Scanning Raman spectroscopy reveals that the (Bi1-xSbx)2Te3 layers with an intermediate Sb content show spatial composition inhomogeneities. The observed spectra broadening in angular-resolved photoemission spectroscopy (ARPES) is also attributed to this phenomena. Upon increasing the Sb content from x=0 to 1 the ARPES measurements show a shift of the Fermi level from the conduction band to the valence band. This shift is also confirmed by corresponding magnetotransport measurements where the conductance changes from n- to p-type. In…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
