Title of article :
An investigation of natural oxidation process on stain-etched
nanoporous silicon by micro-Raman spectroscopy
Author/Authors :
P.G. Abramof، نويسنده , , C.R.B. Miranda، نويسنده , , A.F. Beloto، نويسنده , , A.Y. Ueta، نويسنده , , N.G. Ferreira، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2007
Abstract :
Micro-Raman spectra of porous silicon (PS) samples as-formed, from stain etching process using heavily doped silicon wafers, and after 750
days storage in air were analyzed around Si peak (300–600 cm 1) and at photoluminescence (PL) range (300–8000 cm 1). The first-order Raman
spectra in the vicinity of Si peak were fitted from phonon confinement model including a term taking into account the amorphous phase. This
analysis allowed the determination of the correlation length, which corresponds to the crystallite size, also considering the PS natural oxidation
process. The photoluminescence band, generated by Si crystallites located on the outermost part of the PS layer, was also fitted with a Gaussian
distribution. In order to investigate the porous silicon nanostructure, the micro-Raman spectra were measured for different sets of porous silicon
samples. These spectra showed good reproducibility and the effects of the natural oxidation at different periods. A slight decrease in the crystallite
size was observed for all samples sets studied, while the spectral part related to the amorphous phase did not describe significant changes. The
central position of PL band, analyzed after the oxidation process, exhibited consistently a shift to higher energies. In addition, top view high
resolution scanning electron microscopy (HRSEM) images also confirmed a reasonable reproducibility and homogeneity. The results showed that
after storing in air, natural oxidation can modify the Si crystallites size at the surface but not increase the amorphous phase
Keywords :
Porous silicon , Phonon confinement model , Raman spectrocospy , Oxidation
Journal title :
Applied Surface Science
Journal title :
Applied Surface Science