Ultracompact Photonic Structure Design for Strong Light Confinement and Coupling Into Nanowaveguide

Turduev, Mırbek; Bor, Emre; Latifoğlu, Çağrı; Giden, İbrahim Halil; Hanay, Y. Sinan; Kurt, Hamza

doi:10.1109/jlt.2018.2821361

Cited by 40 publications

(17 citation statements)

References 36 publications

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“…Also, a computer beat the human champion of game Go for the first time in 2016 by using neural networks [28]. Recently, the effectiveness of machine learning in designing efficient nanophotonic devices is introduced [11,29].…”

Section: Problem Statement and Artificial Neural Network Based Photomentioning

confidence: 99%

“…Also, nonlinear search algorithm was applied to design a polarization beam splitter and optical diodes [9,10]. Recently, a machine learning algorithm was introduced to design a subwavelength focusing lens and an optical coupler [11]. Moreover, a tandem of deep neural networks was utilized to predict the geometry of a structure for a desired response which still suffers from requiring a large data set [12].…”

Section: Introductionmentioning

confidence: 99%

“…For this reason, design of an optical coupler that confines the incident light into a waveguide is important for applications of PICs. In this regard, various methods have been introduced to couple incident light into a waveguide with high coupling efficiency and large bandwidth, and to reduce the dimensions of optical couplers [11,14,15].…”

Section: Introductionmentioning

confidence: 99%

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Integrated silicon photonic device design by attractor selection mechanism based on artificial neural networks: optical coupler and asymmetric light transmitter

et al. 2018

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Recently, different nanophotonic computational design methods based on optimization algorithms have been proposed which revolutionized the conventional design techniques of photonic integrated devices. The intelligently designed photonic devices have small footprints and high operating performance along with their fabrication feasibility. In this study, we introduce a new approach based on attractor selection algorithm to design photonic integrated devices. In order to demonstrate the potential of the proposed approach, we designed two structures: an optical coupler and an asymmetric light transmitter. The designed photonic devices operate at telecom wavelengths and have compact dimensions. The designed optical coupler has a footprint of only 4 × 2 μm 2 and coupling efficiency of 87.5% at a design wavelength of 1550 nm with spatial beam width compression ratio of 10:1. Moreover, the designed optical coupler operates at a wide bandwidth of 6.45% where the transmission efficiency is above 80%. In addition, the designed asymmetric light transmitter with a size of 2 × 2 μm 2 has the forward and backward transmission efficiencies of 88.1% and 8.6%, respectively. The bandwidth of 3.47% was calculated for the designed asymmetric light transmitter where the forward transmission efficiency is higher than 80% and the backward efficiency transmission is under 10%. In order to evaluate the operating performance of the designed photonic devices, coupling losses are analyzed. The presented results show that the attractor selection algorithm, which is based on artificial neural networks, can bring a conceptual breakthrough for the design of efficient integrated nanophotonic devices.

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Section: Problem Statement and Artificial Neural Network Based Photomentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Integrated silicon photonic device design by attractor selection mechanism based on artificial neural networks: optical coupler and asymmetric light transmitter

et al. 2018

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“…It should also be noted that the idea of using an optimization approach to design a photonic structure attracts great attention [40,41]. To date, a variety of optimization algorithms has been proposed as a design approach to form unique optical devices based on PCs such as lenses [42], mode order converters [43], cavities [44], large photonic band-gap structures [45,46], optical couplers [47], and obtaining of a semi-Dirac-point [32].…”

Section: Introductionmentioning

confidence: 99%

Asymmetric light transmission effect based on an evolutionary optimized semi-Dirac cone dispersion photonic structure

et al. 2018

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“…The Stanford used alternating directions method of multipliers (ADMM) to design a wavelength demultiplexer of 1300 nm/1500 nm 20 . For other optical device designs like flat optics and holograms, the inverse design also has a wide range of application [26][27][28][29] . Learning from their train of thought, Harbin Institute of Technology [30][31][32] , Huazhong University of Science and Technology [33][34][35] , National University of Defense Technology [36][37][38][39][40] designed a variety of on-chip optical devices and achieved a good performance.…”

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confidence: 99%

Ultra-compact high efficiency and low crosstalk optical interconnection structures based on inverse designed nanophotonic elements

Huang

et al. 2020

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In this paper, we combine inverse design concept and direct binary search algorithm to demonstrate three ultra-compact high efficiency and low crosstalk on-chip integrated optical interconnection basic devices in the entire wavelength range of 1,400-1600 nm based on silicon-on-insulator platform. A 90-degree waveguide bend with a footprint of only 2.4 × 2.4 μm 2 is designed, whose transmission efficiency up to 0.18 dB. A waveguide crossing with a footprint of only 2.4 × 2.4 μm 2 is designed, which can provide insertion loss of less than 0.5 dB and crosstalk (CL) of lower than − 19 dB. A same direction waveguide crossing with footprint of only 2.4 × 3.6 μm 2 is designed, which can provide the insertion loss of less than 0.56 dB and the crosstalk of lower than − 21 dB. Then, we use them to form several ultra-compact optical interconnect basic structures and performed the simulation calculation. They overall achieve high performance. This will significantly improve the integration density. The concept of integrated photonics was introduced in 1969 by Miller 1 , which made a great contribution to the on-chip integrated optical interconnection. On-chip integrated optical interconnection is an emerging technique for large capacity data communications. The waveguide bends and crossings are one of the most critical components of optical interconnection. There are many waveguide bends and crossings designed by conventional approaches. A 5 μm radius 90-degree circular bend with 400 × 220 nm silicon strip waveguide was designed 2. Although the loss of the circular bend is 0.023 dB in FDTD simulation, the design method need a lot of complicated artificial adjustment experiments. A 90-degree partial Euler bends with an effective radius of 50 µm was fabricated on a silicon nitride photonic 3. The bend loss was within 0.2 dB, but it was only limited to the wavelength of 850 nm and had a large footprint. A 275 µm radius circular bend was designed using a silicon waveguide 4 , which achieved very low loss. Unfortunately the length of the radius and waveguide is too long. Bogaerts et al. 5 proposed a 90-degree adiabatic bend for silicon waveguides. The total bend loss was 0.001 dB. However, the curve radius and circular wire section were up to 5 µm and 25 µm, respectively. Other waveguide bends with 2µm 6 , 4µm 7 , 10µm 8 radius were designed using a straight waveguide. Although the loss was below 0.3 dB loss, they had a large footprint and need a very long waveguide. Various studies have also been conducted on waveguide crossings. A low-loss waveguide crossing using the self-imaging properties of multimode interference (MMI) structures was designed 9 , which achieved a loss of only 0.009 dB. But, the length is also fairly long (> 140 µm in the case). A multimode-interference (MMI)-based crossing in high-index-contrast silicon wire waveguides was reported, which had an MMI crossing of ~ 0.4 dB insertion loss 10. However, its large 13 × 13µm 2 footprint may be an issue for dense integration. Recently there have been reports attempt...

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Ultracompact Photonic Structure Design for Strong Light Confinement and Coupling Into Nanowaveguide

Cited by 40 publications

References 36 publications

Integrated silicon photonic device design by attractor selection mechanism based on artificial neural networks: optical coupler and asymmetric light transmitter

Integrated silicon photonic device design by attractor selection mechanism based on artificial neural networks: optical coupler and asymmetric light transmitter

Asymmetric light transmission effect based on an evolutionary optimized semi-Dirac cone dispersion photonic structure

Ultra-compact high efficiency and low crosstalk optical interconnection structures based on inverse designed nanophotonic elements

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