Optimizing the nonlinear optical response of plasmonic metasurfaces
| Autor: | Yehiam Prior, Basudeb Sain, Euclides Almeida, Yael Blechman |
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| Předmět: |
0301 basic medicine
Materials science Physics::Medical Physics Physics::Optics FOS: Physical sciences Bioengineering 02 engineering and technology Signal Nanomaterials Four-wave mixing 03 medical and health sciences Nonlinear optical Genetic algorithm Electronic engineering Physics::Atomic and Molecular Clusters General Materials Science Time domain Transmission coefficient Plasmon Physics Quantitative Biology::Biomolecules Physics::Biological Physics business.industry Mechanical Engineering Surface plasmon Finite-difference time-domain method Metamaterial Nonlinear optics General Chemistry Condensed Matter Physics 021001 nanoscience & nanotechnology Nonlinear system 030104 developmental biology Optoelectronics 0210 nano-technology business Physics - Optics Optics (physics.optics) |
| Zdroj: | Scopus-Elsevier |
| Popis: | Controlling the nonlinear optical response of nanoscale metamaterials opens new exciting applications such as frequency conversion or flat metal optical elements. To utilize the already well-developed fabrication methods, a systematic design methodology for obtaining high nonlinearities is required. In this paper we consider an optimization-based approach, combining a multiparameter genetic algorithm with three-dimensional finite-difference time domain (FDTD) simulations. We investigate two choices of the optimization function: one which looks for plasmonic resonance enhancements at the frequencies of the process using linear FDTD, and another one, based on nonlinear FDTD, which directly computes the predicted nonlinear response. We optimize a four-wave-mixing process with specific predefined input frequencies in an array of rectangular nanocavities milled in a thin free-standing gold film. Both approaches yield a significant enhancement of the nonlinear signal. Although the direct calculation gives rise to the maximum possible signal, the linear optimization provides the expected triply resonant configuration with almost the same enhancement, while being much easier to implement in practice. |
| Databáze: | OpenAIRE |
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