Plasmonic wavelength demultiplexer with a ring resonator using high-order resonant modes

Wu, Chia-Ti; Huang, Chia‐Chien; Lee, Yeun-Chung

doi:10.1364/ao.56.004039

Cited by 29 publications

(8 citation statements)

References 35 publications

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“…Figure 5b is the drop spectrum for two channels; channel 1 for 1310 nm and channel 2 for 1490 nm. The performance of a waveguide demultiplexer can be assessed by two factors; insertion loss (IL) and cross talk (CT) [35]:…”

Section: Dual Demultiplexer For Telecommunication Wavelengthsmentioning

confidence: 99%

Plasmonic Filter and Demultiplexer Based on Square Ring Resonator

Zhang

Yang

et al. 2018

Applied Sciences

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Abstract:A ring resonator is a basic component of traditional photonic integrated circuits (PIC), which has been, however, found difficult to be applied efficiently in high-compact plasmonic metal-insulator-metal (MIM) systems. Here, based on a plasmonic band-stop filter with a square ring resonator (SRR), a novel side-coupling method is introduced both numerically and theoretically to achieve a drop in the resonant wavelength in the SRR with considerable efficiency. By introducing the reflector structure, the performance can be appreciably improved. Besides, this structure also has potential for sensing and switching. Finally, a dual demultiplexer based on SRRs is realized at telecommunication wavelengths with comparable performance, which makes it possible to apply ring resonators in on-chip plasmonic wavelength division multiplex (WDM) networks. This work is valuable for PIC design, and will promote the on-chip plasmonic system progress.

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Section: Dual Demultiplexer For Telecommunication Wavelengthsmentioning

confidence: 99%

Plasmonic Filter and Demultiplexer Based on Square Ring Resonator

Zhang

Yang

et al. 2018

Applied Sciences

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“…DL learns rules for inputs and outputs from large amounts of data, enabling the construction of non-linear models for various applications. Deep learning optimization methods can be applied in the fields of metasurface device design, including sensor [22][23][24][25], demultiplexer [26,27], coupler [28,29], inferometer [30], etc, to improve their design efficiency.The use of neural networks to implement data-driven models provides a new approach for the design of electromagnetic structures [31][32][33][34][35][36], such as EIT [37], broadband absorption [38] and perfect absorption [39]. Deep learning uses neural networks to learn patterns in data, and after training and optimizing on a dataset of metasurfaces, neural networks can effectively predict the best metasurface design.…”

Section: Introductionmentioning

confidence: 99%

Optimized design for absorption metasurface based on autoencoder (AE) and BiLSTM-Attention-FCN-Net

Zhu,

Du,

Dong

et al. 2024

Phys. Scr.

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In order to speed up the process of optimizing design of metasurface absorbers, an improved design model for metasurface absorbers based on autoencoder (AE) and BiLSTM-Attention-FCN-Net (including bidirectional long-short-term memory network, attention mechanism, and fully-connection layer network) is proposed. The metasurface structural parameters can be input into the forward prediction network to predict the corresponding absorption spectra. Meantime, the metasurface structural parameters can be obtained by inputting the absorption spectra into the inverse prediction network. Specially, in the inverse prediction network, the bidirectional long-short-term memory (BiLSTM) network can effectively capture the context relationship between absorption spectral sequence data, and the attention mechanism can enhance the BiLSTM output sequence features, which highlight the critical feature information. After the training, the mean square error (MSE) value on the validation set of the reverse prediction network converges to 0.0046, R2 reaches 0.975, and our network can accurately predict the metasurface structure parameters within 1.5s with a maximum error of 0.03mm. Moreover, this model can achieve the optimal design of multi-band metasurface absorbers, including the single-band, dual-band, and three-band absorptions. The proposed method can also be extended to other types of metasurface optimization design.

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“…Plasmonic nanoantennas have been employed for enhancing the electromagnetic fields for various applications such as biochemical sensing, photovoltaics, nonlinear optics, and photo-thermal therapy. Several kinds of plasmonic devices have been used in the last few years such as demultiplexers [15,16], sensors [17,18], interferometers [19] and couplers [20,21]. Although extensive research work has been carried out in the last few years on employing nanoantennas such as dipole nanoantennas, gold nanoring nanoantennas [22], nanoaperture antennas [23,24], and bowtie nanoantennas [25] for sensing applications, the values of E-field enhancements and SERS EM enhancement factors reported were not very large-with the E-field enhancement values less than 200 and SERS EM enhancement values less than 10 9 .…”

Section: Introductionmentioning

confidence: 99%

Cross-shaped nanoaperture nanoantennas inside plasmonic nanorings for large SERS enhancement and multiple hotspots

Ahmed,

Dhawan

2024

Phys. Scr.

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We have designed a novel nanostructure consisting of a cross-shaped nanoaperture nanoantenna inside plasmonic nanorings for achieving very large values of electric field enhancement, as well as large theoretical surface-enhanced Raman scattering (SERS) enhancement factor, towards the center of the nanostructure. In this work, we employed Finite-difference-time-domain (FDTD) numerical modeling to simulate the plasmonic (gold) nanostructures present on silica substrates. We found that the nanostructures being proposed by us show very high localized electric field enhancements as well as multiple hotspots in which the electric field is enhanced and localized. We observed that these hotspots have large electric field enhancements (and therefore large theoretical SERS enhancement factors) at more than one wavelength. Thus, the proposed nanostructure can be used to achieve a multiple wavelength SERS response. The electric field enhancements and the resonance wavelengths of nanostructures can be tuned in the visible and the NIR region by modifying the nanostructure dimensions like the gap between the tips in the central nanoaperture structure, height of nanostructure, and tip angle variation. It is observed that as the number of gold nanorings increase, the electric field enhancement (as well as the theoretical SERS enhancement factor) also increase due to the focusing of light towards the center of nanostructure, and after the addition of a few rings, the electric field enhancement becomes almost constant. We also studied the polarization dependence of the nanostructure by varying the angle of polarization of the incident light to check the variation of the electric field of the nanostructure, and observed that the proposed nanostructures did not have much polarization dependence. Moreover, due to the symmetric nature of the plasmonic nanostructure, the position of the hotspot region shifts to the adjacent corner on rotating the incident field polarization. We optimized all the dimensional parameters to get the best possible theoretical SERS enhancement factor of ~ 1010. Moreover, we simulated a periodic array of these plasmonic nanostructures on the silica substrates, having equal periodicity in X and Y directions, and achieved a theoretical SERS enhancement factor of ~ 1011.

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Plasmonic wavelength demultiplexer with a ring resonator using high-order resonant modes

Cited by 29 publications

References 35 publications

Plasmonic Filter and Demultiplexer Based on Square Ring Resonator

Plasmonic Filter and Demultiplexer Based on Square Ring Resonator

Optimized design for absorption metasurface based on autoencoder (AE) and BiLSTM-Attention-FCN-Net

Cross-shaped nanoaperture nanoantennas inside plasmonic nanorings for large SERS enhancement and multiple hotspots

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