1996
DOI: 10.1088/0953-8984/8/28/003
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Monte Carlo simulations of the recombination dynamics in porous silicon

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Cited by 63 publications
(51 citation statements)
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“…The decay time of the PL depends on the wavelength. In general, PL decay curves of fluorescent materials such as Si nanoparticles can be fitted using the stretched exponential function ( ) = 0 exp (− ) − , where I 0 is the PL intensity at t = 0, is the lifetime, and is the fitting (distribution) parameter representing the curvature of the decay [12][13][14][15] . Figs.…”
Section: Results and Disccusionmentioning
confidence: 99%
“…The decay time of the PL depends on the wavelength. In general, PL decay curves of fluorescent materials such as Si nanoparticles can be fitted using the stretched exponential function ( ) = 0 exp (− ) − , where I 0 is the PL intensity at t = 0, is the lifetime, and is the fitting (distribution) parameter representing the curvature of the decay [12][13][14][15] . Figs.…”
Section: Results and Disccusionmentioning
confidence: 99%
“…By using ] on a log-log plot as a function of t, β and τ can be directly determined. The other type of non-exponential PL decay, the power-law decay has been extensively studied in amorphous and porous silicon [30][31][32][33], and it is characterized by I(t) ~ t -p . On a log-log plot of I(t) as a function of t, a power law decay results in a straight line.…”
Section: Theorymentioning
confidence: 99%
“…On a log-log plot of I(t) as a function of t, a power law decay results in a straight line. It has be shown by simulation that the stretched exponential decay is due to hopping of excitons [31,33], while the power law decay is the result of hopping of uncorrelated electron-hole pairs [33]. Understanding the underlying mechanism of these decay models will be helpful in the TRPL data analysis of the samples.…”
Section: Theorymentioning
confidence: 99%
“…Several models have been proposed which differ on the transport paths and mechanisms. These range from transport in the Si nanocrystals [86] and diffusion [87] or tunneling [88] between the Si nanocrystals or on their surface, to transport in the amorphous and disordered matrix surrounding the nanocrystals [89], or through both [90]. As the mechanisms suggested there are band transport [91], activated hopping in the band tail [89], trap controlled hopping through nanocrystals [87], activated deep states hopping, Poole-Frenkel processes and activated hopping in fractal networks [92].…”
Section: Electrical Propertiesmentioning
confidence: 99%