4 research outputs found

    Effective Magnetic and Electric Response of Composite Materials

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    Metamaterials (MMs) are nanocomposite materials consisting of metal-dielectric resonators much smaller in size than the wavelength of the incident light. Common examples of metamaterials are based on split ring resonators (SRRs), parallel wires or strips and fishnet structures. These types of materials are designed and fabricated in order to provide unique optical responses to the incident electromagnetic radiation that are not available in naturally existing materials. The MMs can exhibit unusual properties such as strong magnetism at terahertz (THz) and optical frequencies. Additionally, negative index materials (NIMs) can provide negative index of refraction which can be used in many applications including invisibility cloaking devices and superlenses capable of overcoming the diffraction limit of light. Furthermore, NIMs manifest reversal of optical laws such as Snell’s law, the Doppler effect and Cerenkov radiation. This dissertation demonstrates comprehensive analytical and theoretical studies of the magnetic and electric susceptibilities of prospective two dimensional MMs including metallic parallel strips and bowtie resonators. Accurate analytical theories are developed to describe the diamagnetic response of a pair of metallic nanostrips separated by a dielectric material using the transmission line theory, and of metallic bowtie MMs through a high frequency LZ circuit model. These theoretical models were compared to exact numerical simulations based on the finite difference frequency domain (FDFD) Comsol Multiphysics software. The magnetic response for both systems was extracted numerically iv by applying the polarization current approach and found to be in excellent agreement with the analytical theory. Our results show that strong optical magnetism can be realized by reducing the size of the resonators; however, the scaling breaks down at high frequencies where a clear saturation in the magnetic resonance frequency is manifested in both systems under investigation. Moreover, the proposed NIMs designs are shown to exhibit negative index of refraction in the case of metallic and semiconductor based strips resonators. A record high figure of merit (FOM) of -0.9 has been demonstrated for double negative index material (demonstrating simultaneously negative permittivity and permeability). The local electromagnetic response of the NIMs was extracted using two competing approaches, namely the field averaging and inverse methods. These methods have shown consistent results, specifically with respect to the predicted magnetic susceptibility, and thus have testified that the proposed magnetic resonance designs can lead to prospective high fidelity NIMs that should be implemented in practice. As a separate effort related to this thesis, a ceramic material (i.e. yttria stabilized zirconia (YSZ)) was used to fabricate a NOx sensor. Since diesel engines emits more particulates and NOx exhaust gases compared to gasoline engine, a NOx sensor is required to monitor emission in diesels vehicle. The proposed NOx sensor consists of a porous electrolyte and dense electrode. The porosity of YSZ is studied with direct Archimedes measurements and through scanning electron microscopy (SEM) of the YSZ at different firing temperatures. The electrochemical performance of NOx sensor was finally examined and verified by using impedance spectroscopy (IS)

    Effective Magnetic and Electric Response of Composite Materials

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    Metamaterials are artificial materials constructed and designed to provide unique optical properties not found in naturally existing materials, such as magnetism at high frequencies and negative index of refraction. We present an analytical model of the magnetic response for two different designs of metamaterials (MMs) including a pair of metallic stripes separated by a dielectric material and metallic bowtie separated by dielectric material. The responses of the two systems were compared to the exact numerical calculation performed by utilizing Comsol multiphysics software and the results reveal an excellent matching. Additionally, negative index materials (NIMs) were designed using Comsol Multiphysics in which the optical responses were extracted, showing negative index of refraction at THz regimes not only for metallic parallel stripes but also for semiconductor stripes immersed in a dielectric material

    Omics Approaches in Drug Development against Leishmaniasis: Current Scenario and Future Prospects

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    Leishmaniasis is a zoonotic disease transmitted in humans by the bite of Leishmania-infected phlebotomine sandflies. Each year approximately 58,500 cases of leishmaniasis are diagnosed across the globe, with a mortality rate of nearly seven percent. There are over 20 parasitic strains of Leishmania which are known to cause distinct types of leishmaniasis and pose an endemic threat to humans worldwide. Therefore, it is crucial to develop potential medications and vaccines to combat leishmaniasis. However, the task of developing therapeutic solutions is challenging due to Leishmania’s digenetic lifecycle. The challenge is further intensified by cases of resistance against the available drugs. Owing to these challenges, the conventional drug development regimen is further limited by target discovery and ligand suitability for the targets. On the other hand, as an added advantage, the emergence of omics-based tools, such as high-end proteomics, transcriptomics and genomics, has hastened the pace of target discovery and target-based drug development. It is now becoming apparent that multi-omics convergence and an inter-connected systems approach is less time-consuming and more cost-effective for any drug-development process. This comprehensive review is an attempt to summarize the current knowledge on the muti-omics approach in drug development against leishmaniasis. In particular, it elaborates the potential target identification from secreted proteins in various stages of Leishmania infection and also illustrates the convergence of transcriptomic and genomic data towards the collective goal of drug discovery. This review also provides an understanding of the potential parasite’s drug targets and drug resistance characteristics of the parasite, which can be used in designing effective and specific therapeutics

    Lessons Learned from Large-Scale, First-Tier Clinical Exome Sequencing in a Highly Consanguineous Population

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