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We theoretically expanded the capabilities of optical sensing based on surface plasmon resonance in a prism-coupled configuration by incorporating artificial neural networks (ANNs). We used calculations modeling an index-matched substrate with a metal thin film and a porous chiral sculptured thin film (CSTF) deposited successively on it that is affixed to the base of a triangular prism. When a fluid is brought in contact with the exposed face of the CSTF, the latter is infiltrated. As a result of infiltration, the traversal of light entering one slanted face of the prism and exiting the other slanted face of the prism is affected. We trained two ANNs with differing structures using reflectance data generated from simulations to predict the refractive index of the infiltrant fluid. The best predictions were a result of training the ANN with the simpler structure. With realistic simulated-noise, the performance of this ANN is robust.
Combined optical-electrical finite-element simulations of thin-film solar cells: preliminary results
Electrically controlled Bragg resonances of an ambichiral electro-optic structure: oblique incidence
Optical scattering by achiral carbon nanotubes and application as nanoantennas and composite mediums
Electromagnetic modeling of phase-shifting contact lithography by broadband ultraviolet illumination
Reflection at the Motohiro-Taga interface of two anisotropic materials with columnar microstructures
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This course will present the methodology of formulating and solving for surface plasmon polariton (SPP) waves guided by the interface of a metal with a periodically nonhomogeneous dielectric material film such as a photonic crystal or a sculptured thin film. Such interfaces can support more than one SPP wave at the same frequency but with different phase speeds, attenuation rates, and degrees of localization to the interface. The main goal of the course is to make the participants aware of the basic machinery of electromagnetics used for research on surface waves. The knowledge gained during the course will also be applicable to other types of surface waves such as Tamm waves.
This course covers a variety of aspects of engineered biomimicry ranging from the lessons learned from the bioworld and the understanding of underlying principles to the adaptation of those principles to create novel devices, methods or materials. The course will give insight into natural principles with relevance for engineering, the strategies of abstraction and the techniques for adaptation to engineering. Examples of devices and systems which are already in use or currently under development will be discussed.
This course provides attendees with a basic knowledge of the morphology and the optical response characteristics of Sculptured Thin Films (STFs), which are nanoengineered by directional physical vapor deposition (PVD) onto surfaces at oblique angles. The first part of the course focuses on the nanowire-shaped morphology of STFs at the 1-1000 nm length scales, with emphasis on growth techniques and ways to achieve distinct engineered nanomorphologies through simple movements of the substrate during growth. The second part of the course focuses on the modeling of STFs, the effect of morphology on reflection and transmission characteristics, and the principles underlying STF devices such as filters, polarizers, sensors and radiators. Computer programs are provided as part of the course.
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