19 research outputs found

    Study of hybrid and pure plasmonic terahertz antennas based on graphene guided-wave structures

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    Graphene is a unique material for the implementation of terahertz antennas due to extraordinary properties of the resulting devices, such as tunability and compactness. Existing graphene antennas are based on pure plasmonic structures, which are compact but show moderate to high losses. To achieve higher efficiency with low cost, one can apply the theory behind dielectric resonator antennas widely used in millimeter-wave systems. This paper presents the concept of hybridization of surface plasmon and dielectric wave modes. Then, via an analysis of one-dimensional structures, a comparison of the potential capabilities of pure and hybrid plasmonic antennas is performed from the perspectives of radiation efficiency, tunability, and miniaturization. Additionally, the impact of the quality of graphene upon the performance of the compared structures is evaluated. On the one hand, results show that hybrid structures deliver high gain with moderate miniaturization and tunability, rendering them suitable for applications requiring a delicate balance between the three aspects. On the other hand, pure plasmonic structures can provide higher miniaturization and tunability, yet with low efficiency, suggesting their use for application domains with high flexibility requirements or stringent physical constraints.Author's final draf

    Graphene and Related Materials for the Internet of Bio-Nano Things

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    Internet of Bio-Nano Things (IoBNT) is a transformative communication framework, characterized by heterogeneous networks comprising both biological entities and artificial micro/nano-scale devices, so-called Bio-Nano Things (BNTs), interfaced with conventional communication networks for enabling innovative biomedical and environmental applications. Realizing the potential of IoBNT requires the development of new and unconventional communication technologies, such as molecular communications, as well as the corresponding transceivers, bio-cyber interfacing technologies connecting the biochemical domain of IoBNT to the electromagnetic domain of conventional networks, and miniaturized energy harvesting and storage components for the continuous power supply to BNTs. Graphene and related materials (GRMs) exhibit exceptional electrical, optical, biochemical, and mechanical properties, rendering them ideal candidates for addressing the challenges posed by IoBNT. This perspective article highlights recent advancements in GRM-based device technologies that are promising for implementing the core components of IoBNT. By identifying the unique opportunities afforded by GRMs and aligning them with the practical challenges associated with IoBNT, particularly in the materials domain, our aim is to accelerate the transition of envisaged IoBNT applications from theoretical concepts to practical implementations, while also uncovering new application areas for GRMs

    The 2017 Terahertz Science and Technology Roadmap

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    Science and technologies based on terahertz frequency electromagnetic radiation (100GHz-30THz) have developed rapidly over the last 30 years. For most of the 20th century, terahertz radiation, then referred to as sub-millimeter wave or far-infrared radiation, was mainly utilized by astronomers and some spectroscopists. Following the development of laser based terahertz time-domain spectroscopy in the 1980s and 1990s the field of THz science and technology expanded rapidly, to the extent that it now touches many areas from fundamental science to “real world” applications. For example THz radiation is being used to optimize materials for new solar cells, and may also be a key technology for the next generation of airport security scanners. While the field was emerging it was possible to keep track of all new developments, however now the field has grown so much that it is increasingly difficult to follow the diverse range of new discoveries and applications that are appearing. At this point in time, when the field of THz science and technology is moving from an emerging to a more established and interdisciplinary field, it is apt to present a roadmap to help identify the breadth and future directions of the field. The aim of this roadmap is to present a snapshot of the present state of THz science and technology in 2016, and provide an opinion on the challenges and opportunities that the future holds. To be able to achieve this aim, we have invited a group of international experts to write 17 sections that cover most of the key areas of THz Science and Technology. We hope that The 2016 Roadmap on THz Science and Technology will prove to be a useful resource by providing a wide ranging introduction to the capabilities of THz radiation for those outside or just entering the field as well as providing perspective and breadth for those who are well established. We also feel that this review should serve as a useful guide for government and funding agencies

    Antennas and Electromagnetics Research via Natural Language Processing.

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    Advanced techniques for performing natural language processing (NLP) are being utilised to devise a pioneering methodology for collecting and analysing data derived from scientific literature. Despite significant advancements in automated database generation and analysis within the domains of material chemistry and physics, the implementation of NLP techniques in the realms of metamaterial discovery, antenna design, and wireless communications remains at its early stages. This thesis proposes several novel approaches to advance research in material science. Firstly, an NLP method has been developed to automatically extract keywords from large-scale unstructured texts in the area of metamaterial research. This enables the uncovering of trends and relationships between keywords, facilitating the establishment of future research directions. Additionally, a trained neural network model based on the encoder-decoder Long Short-Term Memory (LSTM) architecture has been developed to predict future research directions and provide insights into the influence of metamaterials research. This model lays the groundwork for developing a research roadmap of metamaterials. Furthermore, a novel weighting system has been designed to evaluate article attributes in antenna and propagation research, enabling more accurate assessments of impact of each scientific publication. This approach goes beyond conventional numeric metrics to produce more meaningful predictions. Secondly, a framework has been proposed to leverage text summarisation, one of the primary NLP tasks, to enhance the quality of scientific reviews. It has been applied to review recent development of antennas and propagation for body-centric wireless communications, and the validation has been made available for comparison with well-referenced datasets for text summarisation. Lastly, the effectiveness of automated database building in the domain of tunable materials and their properties has been presented. The collected database will use as an input for training a surrogate machine learning model in an iterative active learning cycle. This model will be utilised to facilitate high-throughput material processing, with the ultimate goal of discovering novel materials exhibiting high tunability. The approaches proposed in this thesis will help to accelerate the discovery of new materials and enhance their applications in antennas, which has the potential to transform electromagnetic material research

    Three-Dimensional Photonic Metamaterials by Direct Laser Writing and Advanced Metallization Techniques

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    We have utilized a novel fabrication concept, i.e., direct laser writing in combination with chemical vapor deposition of silver, to realize three-dimensional metamaterials for optical frequencies. Some of the fabricated structures give rise to bianisotropy resulting in a cross-coupling of the electric and magnetic fields of an incident light wave. We have also presented two unit cell designs which show a negative refractive index at infrared frequencies

    Ultrafast and Nonlinear Spectroscopy of Colloidal Nanomaterials

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    In the first part of this dissertation, the adsorption isotherms, resonance coupling, and fluorescence of molecular dyes on the surface of plasmonic nanoparticles are investigates. SHG is also used to investigate the growth of a silver shell on the surface of gold nanoparticles in real time. Additionally, gold-silver-gold core-shell-shell nanoparticles possess extinction peak wavelengths that can be controlled over the visible and near-infrared regions and enhanced photothermal effect. Transient absorption measurements determine that the phonon-phonon scattering lifetime is considerably faster in the core-shell-shell nanoparticles than in the gold nanospheres and gold nanorods, which contributes to the higher photothermal efficiencies. Transient absorption is also used to investigate the ultrafast excited-state relaxation dynamics of the different dyes adsorbed on the core-shell-shell surface and the size-dependent dynamics o interfacial charge transfer between the gold nanoclusters and the TiO2 bandgap in TiO2-Au nanocomposites. In the second part of this dissertation, the ultrafast spectroscopy of size-selected ([Ru(bipy)3][BETI]2) nanoGUMBPS are reported. The nanoGUMBOS show spectral shifts and size-dependent relaxation dynamics. Long-lived acoustic phonon oscillations with size-dependent frequencies are also observed, where the phonon frequency increases as the nanoparticle size increases, suggesting a very low coupling between electronic and phonon degrees of freedom and a strong hydrophobic interaction with the aqueous solvent. Furthermore, Transient absorption measurements of porphyrin-based nanoGUMBOS reveal that efficient electron transfer and energy transfer is observed between the porphyrin groups leading to shorter excited-state lifetimes. Additionally, the excited-state dynamics of brilliant green – BETI and carbazole – BETI nanoGUMBOS are investigated using pump-probe transient absorption. Brilliant green – BETI nanoGUMBOS exhibit enhanced NIR fluorescence compared to the parent dye in water. The overall excited-state dynamics of brilliant green molecular dye in water are longer than those in the colloidal nanoGUMBOS. The torsional degrees of freedom of the phenyl ring in brilliant green are hindered in the nanoGUMBOS. Additionally, the SHG signal of [BG][BETI] nanoGUMBOS is remarkably enhanced due to the increase of the second order susceptibility tensor χ^((2)) of the nanoGUMBOS. Transient absorption measurement of carbazole – BETI nanoGUMBOS reveal the presence of optical gain and stimulated emission during the excited-state relaxation dynamics

    Academic Year 2019-2020 Faculty Excellence Showcase, AFIT Graduate School of Engineering & Management

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    An excerpt from the Dean\u27s Message: There is no place like the Air Force Institute of Technology (AFIT). There is no academic group like AFIT’s Graduate School of Engineering and Management. Although we run an educational institution similar to many other institutions of higher learning, we are different and unique because of our defense-focused graduate-research-based academic programs. Our programs are designed to be relevant and responsive to national defense needs. Our programs are aligned with the prevailing priorities of the US Air Force and the US Department of Defense. Our faculty team has the requisite critical mass of service-tested faculty members. The unique composition of pure civilian faculty, military faculty, and service-retired civilian faculty makes AFIT truly unique, unlike any other academic institution anywhere
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