Mehboob Alam, Muhammad Hamza Amjad, Ahsan Irshad, Waleed Ahmad
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Enhanced UV plasmon resonance in oscillating silicon nanoparticles
Enhanced plasmonic UV (UltraViolet) scattering and absorption occur due to the excitation of electric resonance modes in silicon (Si) nanoparticles, making them suitable for UV spectroscopy and soft optical metamaterial applications. Integrating Si nanoparticles into soft material gives the tunability, efficiency, and scalability necessary to attain active metamaterials. Exciting surface plasmon resonances in the UV achieves tunability and amplified scattering and absorption in Si nanoparticles. The existing solutions to explain the localized surface plasmon resonance in Si nanoparticles contain infinite series expansions, which limits the basic understanding of the dominant mode behavior. We propose a spherical wave impedance-based approach, which applies fundamental principles from linear circuit theory. It defines impedance as the ratio between electric and magnetic fields, allowing us to derive expressions for various cross sections. Comparison with the electromagnetic field solution (Mie solution) establishes a close match for the scattering, absorption, and extinction response. The model is compact and explains the transfer of energy utilizing lumped circuit components, which is valuable for developing rapid designs of Si nanoparticle-based soft optical metamaterials and metasurfaces.
期刊介绍:
he Journal of Computational Electronics brings together research on all aspects of modeling and simulation of modern electronics. This includes optical, electronic, mechanical, and quantum mechanical aspects, as well as research on the underlying mathematical algorithms and computational details. The related areas of energy conversion/storage and of molecular and biological systems, in which the thrust is on the charge transport, electronic, mechanical, and optical properties, are also covered.
In particular, we encourage manuscripts dealing with device simulation; with optical and optoelectronic systems and photonics; with energy storage (e.g. batteries, fuel cells) and harvesting (e.g. photovoltaic), with simulation of circuits, VLSI layout, logic and architecture (based on, for example, CMOS devices, quantum-cellular automata, QBITs, or single-electron transistors); with electromagnetic simulations (such as microwave electronics and components); or with molecular and biological systems. However, in all these cases, the submitted manuscripts should explicitly address the electronic properties of the relevant systems, materials, or devices and/or present novel contributions to the physical models, computational strategies, or numerical algorithms.