Investigation of Thermoluminescence from Amorphous Silicon Quantum Dots Using the Interactive Multiple Trap System Model
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Date
2018-12-04
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Addis Ababa University
Abstract
The investigation of the effect of size variation on intensity of thermoluminescence emission
from spherical amorphous silicon quantum dots using the model of interactive multi
traps system (IMTS) model were studied in this work. The IMTS model consists of one
active electron trap (AT), one thermally disconnected deep trap (TDDT), and one recombination
centre (RC). Numerical simulations are carried out for quantum dots of diameters
3, 4, 5 , 6 nm to determine TL glow curve and relevant important kinetic parametres.
We find that as the size of the Silicon QDs decreases, the intensity of thermoluminescence
signal increase, the peak temperatures for each quantum dots is almost remains
independent of the size of dots and the TL glow curve looks like first order kinetics.
Also, by employing one-trap-one recombination centre (OTOR) model, we showed that
the glow peaks of the quantum dots shift towards high temperature values, the widths
of the glow curves gets broader and broader with an increase of the dots while the glow
curves seems to obey second order kinetics. Furthermore, as the temperature increase;
the concentration of electrons n(T) in the AT decreases, the concentration of electrons
in the TDDT m(T) increases, and as the quantum dot size increase, concentrations of
electrons nc(T) also increase. In addition the symmetry factor (μg), activation energy (E)
the order of kinetics (b) as well as the instantaneous concentration of carriers in the traps
and recombination centre are numerically simulated. The results obtained may be used
while fabricating dielectric compounds enriched in silicon contents for TL applications.
Furthermore, it may motivate further theoretical and experimental investigations of the
study of the TL phenomena in silicon quantum dots.
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Keywords
Investigation, Thermoluminescence, Amorphous Silicon Quantum, Interactive Multiple Trap, System Model