Paper
9 January 2008 Characterization of epiready n+-GaAs (100) surfaces by SPV-transient
Juha Sinkkonen, Sergey Novikov, Aapo Varpula, J. Haapamaa
Author Affiliations +
Proceedings Volume 6800, Device and Process Technologies for Microelectronics, MEMS, Photonics, and Nanotechnology IV; 68001D (2008) https://doi.org/10.1117/12.759378
Event: SPIE Microelectronics, MEMS, and Nanotechnology, 2007, Canberra, ACT, Australia
Abstract
Surface photovoltage (SPV) transient provides a non-destructive, contact-free method for characterization of semiconductor surfaces. Here we study SPV-transients of differently cleaned, heavily doped epiready GaAs wafers. After a rapid initial part the transient shows a very slow decay taking place in 100 - 1000 s time scale. Chemical NH4OH:H2O2:H2O cleaning and atomic hydrogen UHV cleaning are applied. SPV-transients are measured by Kelvin probe in normal atmospheric conditions. A large signal surface trapping model is developed which includes both majority and minority carrier processes and covers the whole light on, steady state, light off sequence. Model fitting allows band bending, energy and density of surface states as well as electron and hole capture cross-sections to be extracted. The results show that the traps are electronic states in thin oxide layer covering the samples. This conclusion is based on the finding that the capture cross-sections are very small, in the range 10-19 - 10-26 cm2, which calls tunneling for explanation. This indicates that after cleaning the oxide layer is rapidly re-grown in laboratory atmosphere in less than 30 min. Typical band bendings are 0.6 - 0.8 eV, trap energies are slightly above the mid-gap and the density of occupied trap states is around 5×1012 cm-2 at thermal equilibrium.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Juha Sinkkonen, Sergey Novikov, Aapo Varpula, and J. Haapamaa "Characterization of epiready n+-GaAs (100) surfaces by SPV-transient", Proc. SPIE 6800, Device and Process Technologies for Microelectronics, MEMS, Photonics, and Nanotechnology IV, 68001D (9 January 2008); https://doi.org/10.1117/12.759378
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Cited by 7 scholarly publications.
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KEYWORDS
Oxides

Hydrogen

Semiconducting wafers

Semiconductors

Gallium arsenide

Signal processing

Diffusion

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