Department of Physics, Qazvin Branch, Islamic Azad University, Qazvin, Iran
Abstract
In this paper, we propose to optimize manufacturing methods of memory cells by produced silicon nanoparticles via electrical spark discharge of silicon electrodes in water to reduce the energy consumption for low power applications. The pulsed spark discharge with the peak current of 60 A and a duration of a single discharge pulse of 60 µs was used in our experiment. The structure, morphology, and average size of the resulting nanoparticles were characterized by means of X-Ray Diffraction (XRD), Raman spectroscopy and transmission electron microscopy (TEM). TEM images illustrated nearly spherical and isolated Si nanoparticles with diameters in the 3-8 nm range. The optical absorption spectrum of the nanoparticles was measured in the violet-visible (UV-V is) spectral region. By measuring of the band gap we could estimate the average size of the prepared particles. The silicon nanoparticles synthesized exhibited a photoluminescence (PL) band in the violet- blue region with a double peak at around 417 and 439 nm. It can be attributed to oxide-related defects on the surface of silicon nanoparticles, which can act as the radiative centers for the electron-holepairsre combination.
Mardanian, M. (2016). Optimization of Non-volatile Memory Cell and Energy Consumption in Robot Systems by Synthesized Silicon Nanoparticles via Electrical Discharge. Journal of Computer & Robotics, 9(2), 43-50.
MLA
Mehdi Mardanian. "Optimization of Non-volatile Memory Cell and Energy Consumption in Robot Systems by Synthesized Silicon Nanoparticles via Electrical Discharge". Journal of Computer & Robotics, 9, 2, 2016, 43-50.
HARVARD
Mardanian, M. (2016). 'Optimization of Non-volatile Memory Cell and Energy Consumption in Robot Systems by Synthesized Silicon Nanoparticles via Electrical Discharge', Journal of Computer & Robotics, 9(2), pp. 43-50.
VANCOUVER
Mardanian, M. Optimization of Non-volatile Memory Cell and Energy Consumption in Robot Systems by Synthesized Silicon Nanoparticles via Electrical Discharge. Journal of Computer & Robotics, 2016; 9(2): 43-50.
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