Silicon Mode (de)Multiplexer Based on Cascaded Particle-Swarm-Optimized Counter-Tapered Couplers

Chen, Weiwei; Wang, Pengjun; Dai, Shixun; Liu, Yu-Xiao; Li, Jun; Li, Yan; Fu, Qiang; Dai, Tingge; Yu, Hui; Yang, Jianyi

doi:10.1109/jphot.2020.3046361

Cited by 8 publications

(4 citation statements)

References 34 publications

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“…Figure 6 illustrates the microscope image of the fabricated silicon MBPF and the related three-mode multiplexer and demultiplexer. The three-mode multiplexer and demultiplexer involved are based on cascaded particle-swarm-optimized counter-tapered couplers [26].…”

Section: Fabrication and Characterizationmentioning

confidence: 99%

Ultra-compact and low-insertion-loss silicon modal bandpass filter using a pixelated region

Chen,

Liu,

Wang

et al. 2024

J. Opt.

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In this paper, a silicon modal bandpass filter using a pixelated region, in which the TE1 mode passes through while TE0 and TE2 modes are blocked, is proposed, optimized, and experimentally demonstrated. To achieve low insertion loss, ultra-compact footprint, relatively broad bandwidth and large extinction ratio, the direct-binary-search optimization algorithm and finite difference time domain method are employed to optimize the design of the pixelated region. Measurement results reveal that, for the fabricated filter, an extinction ratio of 16.91 dB and an insertion loss of 0.89 dB are realized at 1550 nm. The measured extinction ratio is larger than 16.03 dB and the insertion loss is lower than 1.04 dB from 1538.5 to 1584.5 nm. Additionally, the length of the pixelated region is only 4.8 μm.

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Section: Fabrication and Characterizationmentioning

confidence: 99%

Ultra-compact and low-insertion-loss silicon modal bandpass filter using a pixelated region

Chen,

Liu,

Wang

et al. 2024

J. Opt.

Self Cite

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“…Here, we use the PSO algorithm to optimize the three parameters. The PSO is a population-based stochastic optimization technique inspired by the social behavior of flocks of birds or schools of fish, which has been widely used to solve multi-parameter optimization problems due to its fast convergence [25,26]. The three-dimensional finitedifference time-domain (3D FDTD) method is used for the simulation of PS, phase calculation, and optimization objective calculation.…”

Section: Design Principlementioning

confidence: 99%

Inverse Design of Ultra-Compact and Low-Loss Optical Phase Shifters

Liao,

Tian,

Kang

et al. 2023

Photonics

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In previous works, inverse design methods have primarily focused on manipulating the optical power to achieve specific design targets. In this paper, we use the inverse design method to enable the precise engineering of the optical phase. As a proof of concept, we present a series of phase shifters (PSs) with varying phase shifts, which are inversely designed and theoretically validated on the silicon-on-insulator (SOI) platform. The designed PSs exhibit remarkable accuracy, with deviations of below 1°. These proposed PSs feature an ultra-compact footprint of 3 µm in length and offer superior fabrication tolerances compared to conventional structures. Over the 1535–1565 nm bandwidth, the discrepancy between the actual and target phase shifts remains below ±1° for all phase shifters, while the insertion loss is consistently below 0.035 dB. Moreover, the feasibility of the designed five PSs is verified using 2 × 2 multimode interference couplers (MMI).

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“…The inverse design method has emerged as an innovative approach for designing mode (de)MUX devices, providing an automated and optimized process for searching the optimal solution within a designed region [15,16]. Several algorithms have been proposed for mode (de)MUXs, including particle swarm optimization (PSO) [17], direct binary search (DBS) [18][19][20], Bayesian DBS [21], density method [22][23][24], gradient-probabilitydriven search algorithm (GPDS) [25], and the digitized adjoint method [26]. Based on the PSO algorithm, Chen et al proposed a four-channel mode (de)MUX that exhibits good scalability [17].…”

Section: Introductionmentioning

confidence: 99%

“…Several algorithms have been proposed for mode (de)MUXs, including particle swarm optimization (PSO) [17], direct binary search (DBS) [18][19][20], Bayesian DBS [21], density method [22][23][24], gradient-probabilitydriven search algorithm (GPDS) [25], and the digitized adjoint method [26]. Based on the PSO algorithm, Chen et al proposed a four-channel mode (de)MUX that exhibits good scalability [17]. However, due to the issue of premature convergence, PSO may struggle to converge on a suboptimal solution, which can impact the final results.…”

Section: Introductionmentioning

confidence: 99%

Compact SOI Dual-Mode (De)multiplexer Based on the Level Set Method

Zheng,

Yang,

et al. 2024

Applied Sciences

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Mode (de)multiplexer is an essential device in integrated multimode photonic systems. Here, we present a dual-mode (de)multiplexer that separates two input modes, TE0 and TE1, into two output ports while converting TE1 to TE0 mode. Based on the adjoint and level set method, the device features a small footprint of 9.4 μm × 2.9 μm, and a minimum feature size over 200 nm is achieved, affirming stable and reliable fabrication. Through simulations, we observed insertion losses of less than 0.28 dB for TE0 mode and 0.35 dB for TE1 mode within the wavelength range of 1500–1600 nm, accompanied by crosstalk levels lower than −30 dB. In our experimental tests, we achieved insertion losses of less than 0.89 dB for TE0 mode and 0.44 dB for TE1 modes within the 1530 nm to 1570 nm range, with crosstalk maintained below −25 dB. Furthermore, we conducted an experimental verification of the differences between the standard device and the boundary dilation/erosion device, observing an insertion loss degradation by 0.61 dB within a deviation range of ±40 nm, which demonstrates the device’s robustness to the fabrication. The proposed devices exhibit exceptional performance and feature a compact structure, thus holding significant potential for the development of future multimode integrated photonic circuits.

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Silicon Mode (de)Multiplexer Based on Cascaded Particle-Swarm-Optimized Counter-Tapered Couplers

Cited by 8 publications

References 34 publications

Ultra-compact and low-insertion-loss silicon modal bandpass filter using a pixelated region

Ultra-compact and low-insertion-loss silicon modal bandpass filter using a pixelated region

Inverse Design of Ultra-Compact and Low-Loss Optical Phase Shifters

Compact SOI Dual-Mode (De)multiplexer Based on the Level Set Method

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