Effect of Copper Nanoparticles on the Optical Enhancement and the Electrical Performance of Silicon Nanowires-Based Schottky Diode
Source abstract
Abstract
Copper nanoparticles (CuNPs) were chemically deposited on silicon nanowires (SiNWs) using an electroless dipping method. SiNWs are fabricated by a one-step Ag-assisted chemical etching method. The formation of aligned SiNWs perpendicular to Si surface as well as their decoration by CuNPs was clearly observed by Scanning Electronic Microscope (SEM) images. Raman and Fourier Transformed Infra-Red (FTIR) spectroscopies revealed that chemical reactions between SiNWs and copper ions have occurred by detecting new chemical bonds at SiNWs surface. The optical properties were studied by photoluminescence spectroscopy (PL) which shows a remarkable enhancement in the PL intensity of SiNWs decorated by CuNPs in green-yellow region. This enhancement is mainly due to the plasmonic effect of CuNPs as well as the radiative transitions of this metal. SiNWs decorated by CuNPs have been used as part of a Schottky diode device. The effects of Cu-deposition on Ag/Cu-SiNWs/Si diode parameters and conduction mechanism are investigated by current–voltage (I–V) measurements. The fabricated Schottky contact of Ag/Cu-SiNWs for an immersion time of 1 min showed diode characteristics with good rectifying behavior, relatively small threshold (⁓ 0.3 V) and a lower ideality factor than that of the copper-undoped diode. The potential barrier has been increased by about 0.8 eV by increasing the immersion time due to the formation of a physical barrier between the silver and the SiNWs layer by the CuNPs leading to an enlargement of the space charge region. This work gives a deep explanation to the role played by CuNPs in the emission mechanism and electronic transport in SiNWs structure.
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Research context
OpenAlex topics: Nanowire Synthesis and Applications · Semiconductor materials and interfaces · Silicon Nanostructures and Photoluminescence
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
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