On-chip optical interconnect using visible light

Cai, Wei; Zhu, Bingcheng; Gao, Xuemin; Yang, Yongchao; Yuan, Jialei; Zhu, Guixia; Wang, Yongjin; Grünberg, P.

doi:10.1631/fitee.1601720

Cited by 5 publications

(7 citation statements)

References 27 publications

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“…One can use Formula (14) for the estimation of input optical power that corresponds to certain resonant cavity configuration and initial electron concentration in the absorbing region. Thus, we developed the combined numerical model of the photodetector with controlled relocation of carrier density peaks that includes the Schrodinger-Poisson Equation systems (1)-(5), semiclassical transport Equations (6)-(8), boundary Conditions (9), (10), and initial conditions derived from the numerical solution of the stationary Schrodinger-Poisson equation system. Supplementary Formula (14) associates non-equilibrium carrier concentration in the absorbing region of the photodetector with the input optical power and parameters of the resonant cavity.…”

Section: Numerical Modelmentioning

confidence: 99%

“…The first system given in Table 1 is designed for the normalization of the Schrodinger Equations (1), (2), and wavefunction boundary Condition (9). The second system represented in Table 2 is employed for the Poisson Equation 5and potential boundary Condition (10). Equations (3), (4), (6)- (8) are not scaled.…”

Section: Simulation Techniquementioning

confidence: 99%

“…m * 0 is the electron effective mass in the Γ-valley of GaAs; t t 0 = /∆E 0 - Table 2. The second system of scaling factors for Equations (5) and (10).…”

Section: Physical Quantity Scaling Factor Commentsmentioning

confidence: 99%

“…An optoelectronic approach considers optical links as an alternative decision for high-performance interconnecting of IC elements and components [6,[8][9][10][11]. This approach can provide the appreciable advancement of IC characteristics in the immediate future.…”

Section: Introductionmentioning

confidence: 99%

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Photodetector with Controlled Relocation of Carrier Density Peaks: Concept and Numerical Simulation

Pisarenko

Ryndin

2020

Photonics

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Modern electronics faces the degradation of metal interconnection performance in integrated circuits with nanoscale feature dimensions of transistors. The application of constructively and technologically integrated optical links instead of metal wires is a promising way of the problem solution. Previously, we proposed the advanced design of an on-chip injection laser with an AIIIBV nanoheterostructure, and a functionally integrated optical modulator. To implement the efficient laser-modulator-based optical interconnections, technologically compatible photodetectors with subpicosecond response time and sufficient sensitivity are required. In this paper, we introduce the concept of a novel high-speed photodetector with controlled relocation of carrier density peaks. The device includes a traditional p-i-n photosensitive junction and an orthogonally oriented control heterostructure. The transverse electric field displaces the peaks of electron and hole densities into the regions with low carrier mobilities and lifetimes during the back edge of an optical pulse. This relocation results in the fast decline of photocurrent that does not depend on the longitudinal transport of electrons and holes. We develop a combined numerical model based on the Schrodinger-Poisson equation system to estimate the response time of the photodetector. According to the simulation results, the steep part of the photocurrent back edge has a duration of about 0.1 ps.

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Section: Numerical Modelmentioning

confidence: 99%

Section: Simulation Techniquementioning

confidence: 99%

“…m * 0 is the electron effective mass in the Γ-valley of GaAs; t t 0 = /∆E 0 - Table 2. The second system of scaling factors for Equations (5) and (10).…”

Section: Physical Quantity Scaling Factor Commentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Photodetector with Controlled Relocation of Carrier Density Peaks: Concept and Numerical Simulation

Pisarenko

Ryndin

2020

Photonics

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“…In Cai et al (2017), the members in Prof. Yongjing WANG's group and the Nobel laureate Peter GRUNBERG report the experimental demonstration of on-chip optical interconnects through a monolithic integrated optoelectronic device. The experimental results pave the way towards on-chip optical interconnects using visible light.…”

Section: Editorialmentioning

confidence: 99%

Special feature on computational photography

Dai

2017

Frontiers Inf Technol Electronic Eng

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Computational photography is an emerging field targeting for overcoming limitations of conventional photography, and holds great potential for building both new consumer cameras and scientific observation instruments. At the convergence of multiple disciplines, including computer vision, graphics, optics, and signal processing, computational photography has opened new frontiers in the past decade. Academia and industry together witnessed a series of innovative and exciting progress. The emerging field is full of opportunities and challenges. Here, we dedicate this special feature on computational photography to advancing the studies of this field.From the viewpoint of the dimension of captured visual signals, we can categorize the studies in computational photography into several groups: spatial structure imaging, multi-spectral capture, phase imaging, temporal information recording, etc. Besides the acquisition of light signals, computational photography also benefits from the development of electrooptical technologies. To provide a comprehensive overview of this field, this special feature is composed of one invited research paper on recent progress in on-chip optical interconnects and seven invited review papers on computational photography, including an overview of the whole field and six surveys on computational acquisition along various dimensions of the visual signals.We begin this issue with a survey on the theory, methods, and representative state of the art in this exciting field, by Prof. Qiong-hai DAI and his colleagues (Hu et al., 2007). The authors give an overview of the fundamental principles and methods in computational imaging, the history of this field, and the important roles that it plays in the development of science. Then, the authors review the most recent promising computational imaging advances according to the dimensions of visual signals, and showcase the frontiers of this emerging direction. In addition, some worthwhile research topics are discussed for future development of computational imaging.Next come the surveys on the development along the sub-dimensions of visual signals. Highresolution microscopy is a long pursuing target in both academia and industry. The development of novel computational methods would greatly benefit super-resolution microscopy and lead to better resolution, improved accuracy, and faster image processing. Prof. Peng XI and his colleagues systematically review the technologies for the broadly applicable super-resolution microscopy (Zeng et al., 2017). They comprehensively describe the mainstreams of computational super-resolution microscopy, and discuss their pros and cons, from the viewpoint of bridging the microscopy and computation communities.Along the angular dimension, light-field cameras record angular information of the physical world in addition to its spatial intensity, which provides new ways to address various tasks in computer vision, such as 3D reconstruction, saliency detection, and object recognition. Prof. Qing WANG's group and Prof. Jingy...

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