PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
July 25, 2024Journal of Applied Physics8 citationsOpen Access

Deep level traps in (010) β-Ga2O3 epilayers grown by metal organic chemical vapor deposition on Sn-doped β-Ga2O3 substrates

View Full Paper
CDC. A. DaweВМВ. П. МаркевичMHMatthew P. Halsall

Key Points

Key points are not available for this paper at this time.

Abstract

In this work, conventional deep-level transient spectroscopy (DLTS) and high-resolution Laplace-DLTS (L-DLTS) have been used to characterize deep-level traps in (010) β-Ga2O3 epilayers grown by metal organic chemical vapor deposition on native Sn-doped substrates. Two types of epilayers have been studied, one doped with silicon during growth to about 1. 5 × 1017 cm−3 and the other type was unintentionally doped (UID). Electrical measurements were conducted on Au and Pt Schottky barrier diodes. In the Si-doped samples, only one electron trap with emission activation energy of 0. 42 eV (E0. 42) and concentration of (6–8) × 1013 cm−3 has been detected. In the UID samples, in addition to the E0. 42 trap, two other traps with activation energies for electron emission of 0. 10 eV (E0. 10) and 0. 53 eV (E0. 53) have been observed. Dependencies of electron emission rate (eem) on the electric field (E) as well as concentration-depth profiles NT (W) have been measured and analyzed for the E0. 10 and E0. 42 traps. The eem (E) dependence for the E0. 10 trap is characteristic for a donor energy level, while that for the E0. 42 trap indicates an acceptor level. The NT (W) dependencies show non-uniform spatial distributions of both the E0. 10 and E0. 42 traps in the UID samples, with the concentration of the E0. 10 trap dropping from about 1 × 1015 cm−3 at 1. 5 μm from the surface to about 2 × 1013 cm−3 at 0. 5 μm, which indicates out-diffusion from the substrate or interface into the epilayer as a likely source. The results obtained are compared with the literature, and possible origins of the detected traps are discussed.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Dawe et al. (2024) studied this question.

synapsesocial.com/papers/68e5f0a2b6db6435875852d9https://doi.org/10.1063/5.0202581
Ask AI
Helpful
Bookmark
Share
View Full Paper