Silicon Photonic Platform for Passive Waveguide Devices: Materials, Fabrication, and Applications

Su, Yikai; Zhang, Yong; Qiu, Ciyuan; Guo, Xuhan; Sun, Lu

doi:10.1002/admt.201901153

Cited by 118 publications

(58 citation statements)

References 233 publications

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“…Silicon photonics is emerging as an ideal platform for integrating these components, while offering a combination of foundry compatibility and device compactness with low costs, thus allowing for the realization of on‐chip scalable neuromorphic photonic systems. The prevailing silicon photonics device development [ 56 ] makes it possible for the construction of high‐performance integrated silicon PNNs with aforementioned highly functional optical components. A growing number of commercial electronics foundries (Global Foundries, TSMC, etc.)…”

Section: Discussion and Challengesmentioning

confidence: 99%

“…Silicon photonics naturally takes advantages of both electronics and photonics, enabling the same‐scale photonic integration density as microelectronics. Besides the merits mentioned earlier, the fabrication of silicon photonic devices is largely compatible with the microelectronics process using CMOS, [ 56 ] facilitating large‐scale, low‐cost reproduction of photonic chips. Light sources are also indispensable in PNNs.…”

Section: Introductionmentioning

confidence: 99%

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Integrated Neuromorphic Photonics: Synapses, Neurons, and Neural Networks

Guo

Xiang

Zhang

et al. 2021

Advanced Photonics Research

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Ever‐growing demands of bandwidth, computing speed, and power consumption are now accelerating the transformation of computing research, as work‐at‐home becomes a new normal. Brain‐inspired photonic neuromorphic computing for artificial intelligence is raising an urgent need, and it promises orders‐of‐magnitude higher computing speed and energy efficiency compared with digital electronic counterparts. Photonic neuromorphic networks combine the efficiency of neural networks based on a non‐von Neumann architecture and the benefits of photonics to constitute a new computing paradigm. Herein, some recent advances in photonic neural networks are reviewed, including the concept, principle, key photonic components, and architectures that construct the neuromorphic systems, hoping to provide a better understanding of this emerging field.

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Section: Discussion and Challengesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Integrated Neuromorphic Photonics: Synapses, Neurons, and Neural Networks

Guo

Xiang

Zhang

et al. 2021

Advanced Photonics Research

Self Cite

View full text Add to dashboard Cite

show abstract

“…Silicon photonics is a convergence platform of photonics and microelectronics, which can enable complex optical functionalities on a compact chip by using commercial CMOS chip fabrication facilities [153][154][155][156]. The silicon integrated optical chips that can generate, modulate, process and detect light signals have been recognized as a promising solution of cost-effectively meeting the ever-increasing demands on data speed and bandwidth.…”

Section: Silicon Photonics/optoelectronicsmentioning

confidence: 99%

Recent progress of integrated circuits and optoelectronic chips

Xiang

Han

Zhang

et al. 2021

Sci. China Inf. Sci.

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Integrated circuits (ICs) and optoelectronic chips are the foundation stones of the modern information society. The IC industry has been driven by the so-called "Moore's law" in the past 60 years, and now has entered the post Moore's law era. In this paper, we review the recent progress of ICs and optoelectronic chips. The research status, technical challenges and development trend of devices, chips and integrated technologies of typical IC and optoelectronic chips are focused on. The main contents include the development law of IC and optoelectronic chip technology, the IC design and processing technology, emerging memory and chip architecture, brain-like chip structure and its mechanism, heterogeneous integration, quantum chip technology, silicon photonics chip technology, integrated microwave photonic chip, and optoelectronic hybrid integrated chip.

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“…1(b) shows a schematic of an SOI nanowire waveguide integrated with a GO film. The fabrication of the SOI nanowire can be achieved via either deep ultraviolet photolithography or e-beam lithography followed by inductively coupled plasma etching, all of which are mature silicon device fabrication technologies [20,104]. The GO film coating, with a thickness of ~2 nm per layer [82], can be a For simplification, the material and waveguide parameters in relevant equations are shown without the variables in the brackets.…”

Section: D Go Films and Device Structurementioning

confidence: 99%

Optimizing the Kerr nonlinear optical performance of silicon waveguides with integrated graphene oxide films

Moss¹

2021

Preprint

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The Kerr nonlinear optical performance of silicon nanowire waveguides integrated with 2D layered graphene oxide (GO) films is theoretically studied and optimized based on experimentally measured linear and nonlinear optical parameters of the GO films. The strong mode overlap between the silicon nanowires and highly nonlinear GO films yields a significantly enhanced Kerr nonlinearity for the hybrid waveguides. A detailed analysis for the influence of waveguide geometry and GO film thickness on the propagation loss, nonlinear parameter, and nonlinear figure of merit (FOM) is performed. The results show that the effective nonlinear parameter and nonlinear FOM can be increased by up to ~52 and ~79 times relative to bare silicon nanowires, respectively. Self-phase modulation (SPM)-induced spectral broadening of optical pulses is used as a benchmark to evaluate the nonlinear performance, examining the trade-off between enhancing Kerr nonlinearity and minimizing loss. By optimizing the device parameters to balance this, a high spectral broadening factor of 27.8 can be achieved ‒ more than 6 times that achieved in previous experiments. Finally, the influence of pulse chirp, material anisotropy, and the interplay between saturable absorption and SPM is also discussed, together with the comparison between the spectral broadening after going through GO-coated and graphene-coated silicon waveguides. These results provide useful guidance for optimizing the Kerr nonlinear optical performance of silicon waveguides integrated with 2D layered GO films.

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Silicon Photonic Platform for Passive Waveguide Devices: Materials, Fabrication, and Applications

Cited by 118 publications

References 233 publications

Integrated Neuromorphic Photonics: Synapses, Neurons, and Neural Networks

Integrated Neuromorphic Photonics: Synapses, Neurons, and Neural Networks

Recent progress of integrated circuits and optoelectronic chips

Optimizing the Kerr nonlinear optical performance of silicon waveguides with integrated graphene oxide films

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