Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.771172
Title: Numerical simulations of THz photoconductive antenna
Author: Abu Bakar Sajak, Aznida
ISNI:       0000 0004 7656 8591
Awarding Body: University of Liverpool
Current Institution: University of Liverpool
Date of Award: 2019
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Abstract:
Terahertz (THz) (0.1 - 10 THz) region of the electromagnetic spectrum spans the frequency range between the mid-infrared and the millimetre range. THz technology has generated a lot of interest recently due to its potential applications as a tomographic imaging and material spectroscopic characterization technique in a wide range of industry sectors including aerospace industry, wood products industry, the pharmaceutical industry, art conservation and semiconductor industry. There have been significant advances in the development of THz sources and detectors. The radiated THz power from these devices, however, is very low, and they are very inefficient. Hence, there are still a lot of continued interests in developing more powerful and compact THz sources as this will enable new applications of this electromagnetic spectrum. In this thesis, a novel photoconductive antenna with an embedded electrode structure had been proposed. Formulated equations had been used with COMSOL Multiphysics software package for the proposed THz photoconductive antenna analysis. Simulation results indicate that the proposed THz antenna can store two times more effective electric energy than the conventional photoconductive antenna. These results suggest higher THz power could potentially be obtained using the proposed structure. The proposed model also exhibits almost double the value of current when the substrate material mobility is doubled. Based on the appraised parameters of the proposed model, the best dimension of a THz photoconductive antenna had been recommended to be constructed.
Supervisor: Yaochun, Shen Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.771172  DOI: Not available
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