Genetically optimized on-chip wideband ultracompact reflectors and Fabry–Perot cavities

Yu, Zejie; Cui, Haoran; Sun, Xiankai

doi:10.1364/prj.5.000b15

Cited by 86 publications

(35 citation statements)

References 20 publications

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“…They have employed advanced optimization methods. Currently, the commonly used optimization algorithms for micronano photonic devices are as follows: the direct-binary-search (DBS) algorithms [11][12][13], gradient-based optimization algorithm [14][15][16] and deep learning algorithm [17][18][19]. The design based on the gradient optimization algorithm is usually an irregular continuous shape [20].…”

Section: Introductionmentioning

confidence: 99%

Ultra-Compact Power Splitters with Low Loss in Arbitrary Direction Based on Inverse Design Method

Xie

et al. 2021

Photonics

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The power splitter is a device that splits the energy from an input signal into multiple outputs with equal or uneven energy. Recently, the use of algorithms to intelligently design silicon-based photonic devices has attracted widespread attention. Thus, many optimization algorithms, which are called inverse design algorithms, have been proposed. In this paper, we use the Direct Binary Search (DBS) algorithm designed with three 1 × 3 power splitters with arbitrary directions theoretically. They have any direction and can be connected to other devices in any direction, which greatly reduces the space occupied by the optical integrated circuit. Through the simulation that comes about, we are able to get the insertion loss (IL) of the device we designed to be less than 5.55 dB, 5.49 dB, and 5.32 dB, separately. Then, the wavelength is 1530–1560 nm, so it can be used in the optical communication system. To discuss the impact of the footprint on device performance, we also designed another device with the same function as the second one from the above three devices. Its IL is less than 5.40 dB. Although it occupies a larger area, it has an advantage in IL. Through the design results, three 1 × 3 power splitters can be freely combined to realize any direction, multi-channel, ultra-compact power splitters, and can be better connected with different devices to achieve different functions. At the same time, we also show an example of a combination. The IL of each port of the combined 1 × 6 power splitter is less than 8.82 dB.

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Section: Introductionmentioning

confidence: 99%

Ultra-Compact Power Splitters with Low Loss in Arbitrary Direction Based on Inverse Design Method

Xie

et al. 2021

Photonics

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“…All together, our work lays a solid foundation to control the propagation of BSWs in integrated optical circuits placed on the top surface of a 1D PC multilayer stack. In the design of these circuits, we no longer have to strictly rely on the extrapolation of elements from established macroscopic systems, but we can rely on computational approaches to achieve functional elements, which have also been proven in other technical platforms, such as planar waveguide circuits 1,[26][27][28] . The designed elements can find immediate use, for instance, in lab-on-chip systems where tightly focused BSWs interact with materials carried in fluidic channels to perform spectroscopic measurements.…”

Section: Discussionmentioning

confidence: 99%

Inverse Photonic Design of Functional Elements That Focus Bloch Surface Waves

Augenstein

Vetter

Lahijani

et al. 2019

2019 Conference on Lasers and Electro-Optics Europe &Amp; European Quantum Electronics Conference (CLEO/Europe-EQEC)

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Bloch surface waves (BSWs) are sustained at the interface of a suitably designed one-dimensional (1D) dielectric photonic crystal and an ambient material. The elements that control the propagation of BSWs are defined by a spatially structured device layer on top of the 1D photonic crystal that locally changes the effective index of the BSW. An example of such an element is a focusing device that squeezes an incident BSW into a tiny space. However, the ability to focus BSWs is limited since the index contrast achievable with the device layer is usually only on the order of Δn≈0.1 for practical reasons. Conventional elements, e.g., discs or triangles, which rely on a photonic nanojet to focus BSWs, operate insufficiently at such a low index contrast. To solve this problem, we utilize an inverse photonic design strategy to attain functional elements that focus BSWs efficiently into spatial domains slightly smaller than half the wavelength. Selected examples of such functional elements are fabricated. Their ability to focus BSWs is experimentally verified by measuring the field distributions with a scanning near-field optical microscope. Our focusing elements are promising ingredients for a future generation of integrated photonic devices that rely on BSWs, e.g., to carry information, or lab-on-chip devices for specific sensing applications.

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“…On-chip devices form a class of applications suitable for inverse design. Besides beam splitters, optical diodes that perform asymmetric spatial mode conversion [ 70 , 71 ] ( Figure 2D ) and reflectors [ 77 ] ( Figure 2E ) have also been demonstrated using different algorithms.…”

Section: Nanophotonic Design Based On Optimization Techniquesmentioning

confidence: 99%

“…[ 76 ] by permission from Springer Nature; (D) is reprinted from Ref. [ 71 ] with permission (CC BY 4.0); (E) is reprinted from [ 77 ] with permission.…”

Section: Figurementioning

confidence: 99%

Intelligent nanophotonics: merging photonics and artificial intelligence at the nanoscale

2019

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Nanophotonics has been an active research field over the past two decades, triggered by the rising interests in exploring new physics and technologies with light at the nanoscale. As the demands of performance and integration level keep increasing, the design and optimization of nanophotonic devices become computationally expensive and time-inefficient. Advanced computational methods and artificial intelligence, especially its subfield of machine learning, have led to revolutionary development in many applications, such as web searches, computer vision, and speech/image recognition. The complex models and algorithms help to exploit the enormous parameter space in a highly efficient way. In this review, we summarize the recent advances on the emerging field where nanophotonics and machine learning blend. We provide an overview of different computational methods, with the focus on deep learning, for the nanophotonic inverse design. The implementation of deep neural networks with photonic platforms is also discussed.This review aims at sketching an illustration of the nanophotonic design with machine learning and giving a perspective on the future tasks.

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Genetically optimized on-chip wideband ultracompact reflectors and Fabry–Perot cavities

Cited by 86 publications

References 20 publications

Ultra-Compact Power Splitters with Low Loss in Arbitrary Direction Based on Inverse Design Method

Ultra-Compact Power Splitters with Low Loss in Arbitrary Direction Based on Inverse Design Method

Inverse Photonic Design of Functional Elements That Focus Bloch Surface Waves

Intelligent nanophotonics: merging photonics and artificial intelligence at the nanoscale

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