Fundamentals of Silicon Photonic Devices
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Lecture 17 - Rectangular Waveguides/Photonic Crystals� and Radiative Recombination -Outline�
6.772/SMA5111 - Compound Semiconductors Lecture 17 - Rectangular Waveguides/Photonic Crystals� and Radiative Recombination -Outline� • Dielectric optics (continuing discussion in Lecture 16) Rectangular waveguides� Coupled rectangular waveguide structures Couplers, Filters, Switches • Photonic crystals History: Optical bandgaps and Eli Yablonovich, to the present One-dimensional photonic crystals� Distributed Bragg reflectors� Photonic fibers; perfect mirrors� Two-dimensional photonic crystals� Guided wave optics structures� Defect levels� Three-dimensional photonic crystals • Recombination Processes (preparation for LEDs and LDs) Radiative vs. non-radiative� Relative carrier lifetimes� C. G. Fonstad, 4/03 Lecture 17 - Slide 1 Absorption in semiconductors - indirect-gap band-to-band� •� The phonon modes involved indirect band gap absorption •� Dispersion curves for acoustic and optical phonons Approximate optical phonon energies for several semiconductors Ge: 37 meV (Swaminathan and Macrander) Si: 63 meV GaAs: 36 meV C. G. Fonstad, 4/03� Lecture 15 - Slide 2� Slab dielectric waveguides� •�Nature of TE-modes (E-field has only a y-component). For the j-th mode of the slab, the electric field is given by: - (b -w ) = j j z t E y, j X j (x)Re[ e ] In this equation: w: frequency/energy of the light pw = n = l 2 c o l o: free space wavelength� b j: propagation constant of the j-th mode Xj(x): mode profile normal to the slab. satisfies d 2 X j + 2 2- b 2 = 2 (ni ko j )X j 0 dx where:� ni: refractive index in region i� ko: propagation constant in free space = pl ko 2 o C. G. Fonstad, 4/03� Lecture 17 - Slide 3� Slab dielectric waveguides� •�In approaching a slab waveguide problem, we typically take the dimensions and indices in the various regions and the free space wavelength or frequency of the light as the "givens" and the unknown is b, the propagation constant in the slab. -
Silicon Photonics
Silicon Photonics – Trends, Highlights and Challenges Overview Gnyan Ramakrishna, Chair, Technical Committee Photonics, EPS and Technical Leader, Cisco Systems Vipul Patel, Co-Chair, Technical Committee Photonics, EPS and Principal Engineer, Cisco Systems The Cisco Global Cloud Index estimates that total data center traffic (all traffic within or exiting a data center) will reach almost 20 zettabytes per year by 2021, up from 7 zettabytes in 2016. Data center traffic on a global scale will grow at a 25 percent CAGR, with cloud data center traffic growth rate at 27 percent CAGR or 3.3-fold growth from 2016 to 2021. The growth in internet traffic not only accelerates the need for next-generation technology to support higher port density and faster speed transitions but is also accompanied by large physical data center sizes as well as faster connectivity between the data centers. As the data rates and distances to carry high speed data are increasing, the limitations of traditional copper cable and multimode fiber-based solutions are becoming apparent and the industry focus is shifting towards adoption of single-mode fiber-optic solutions. Silicon Photonics is an emerging technology that is bringing a paradigm shift in the field of single mode fiber-optic communications. Silicon Photonics leverages mature CMOS wafer fabrication and packaging infrastructures to deliver high bandwidth, low power transceivers. Even though the current focus of the industry is to develop products for the pluggable market, it is generally accepted that Silicon Photonics will play a key role in the next generation of optics that is needed for co-packaging with ASICs. -
Read About the Future of Packaging with Silicon Photonics
The future of packaging with silicon photonics By Deborah Patterson [Patterson Group]; Isabel De Sousa, Louis-Marie Achard [IBM Canada, Ltd.] t has been almost a decade Optics have traditionally been center design. Besides upgrading optical since the introduction of employed to transmit data over long cabling, links and other interconnections, I the iPhone, a device that so distances because light can carry the legacy data center, comprised of many successfully blended sleek hardware considerably more information off-the-shelf components, is in the process with an intuitive user interface that it content (bits) at faster speeds. Optical of a complete overhaul that is leading to effectively jump-started a global shift in transmission becomes more energy significant growth and change in how the way we now communicate, socialize, efficient as compared to electronic transmit, receive, and switching functions manage our lives and fundamentally alternatives when the transmission are handled, especially in terms of next- interact. Today, smartphones and countless length and bandwidth increase. As the generation Ethernet speeds. In addition, other devices allow us to capture, create need for higher data transfer speeds at as 5G ramps, high-speed interconnect and communicate enormous amounts of greater baud rate and lower power levels between data centers and small cells will content. The explosion in data, storage intensifies, the trend is for optics to also come into play. These roadmaps and information distribution is driving move closer to the die. Optoelectronic will fuel multi-fiber waveguide-to-chip extraordinary growth in internet traffic interconnect is now being designed interconnect solutions, laser development, and cloud services. -
Lecture 26 Dielectric Slab Waveguides
Lecture 26 Dielectric Slab Waveguides In this lecture you will learn: • Dielectric slab waveguides •TE and TM guided modes in dielectric slab waveguides ECE 303 – Fall 2005 – Farhan Rana – Cornell University TE Guided Modes in Parallel-Plate Metal Waveguides r E()rr = yˆ E sin()k x e− j kz z x>0 o x x Ei Ei r r Ey k E r k i r kr i H Hi i z ε µo Hr r r ki = −kx xˆ + kzzˆ kr = kx xˆ + kzzˆ Guided TE modes are TE-waves bouncing back and fourth between two metal plates and propagating in the z-direction ! The x-component of the wavevector can have only discrete values – its quantized m π k = where : m = 1, 2, 3, x d KK ECE 303 – Fall 2005 – Farhan Rana – Cornell University 1 Dielectric Waveguides - I Consider TE-wave undergoing total internal reflection: E i x ε1 µo r k E r i r kr H θ θ i i i z r H r ki = −kx xˆ + kzzˆ r kr = kx xˆ + kzzˆ Evanescent wave ε2 µo ε1 > ε2 r E()rr = yˆ E e− j ()−kx x +kz z + yˆ ΓE e− j (k x x +kz z) 2 2 2 x>0 i i kz + kx = ω µo ε1 Γ = 1 when θi > θc When θ i > θ c : kx = − jα x r E()rr = yˆ T E e− j kz z e−α x x 2 2 2 x<0 i kz − α x = ω µo ε2 ECE 303 – Fall 2005 – Farhan Rana – Cornell University Dielectric Waveguides - II x ε2 µo Evanescent wave cladding Ei E ε1 µo r i r k E r k i r kr i core Hi θi θi Hi ε1 > ε2 z Hr cladding Evanescent wave ε2 µo One can have a guided wave that is bouncing between two dielectric interfaces due to total internal reflection and moving in the z-direction ECE 303 – Fall 2005 – Farhan Rana – Cornell University 2 Dielectric Slab Waveguides W 2d Assumption: W >> d x cladding y core -
Roadmap on Silicon Photonics
Home Search Collections Journals About Contact us My IOPscience Roadmap on silicon photonics This content has been downloaded from IOPscience. Please scroll down to see the full text. View the table of contents for this issue, or go to the journal homepage for more Download details: IP Address: 152.78.236.131 This content was downloaded on 24/06/2016 at 13:44 Please note that terms and conditions apply. Journal of Optics J. Opt. 18 (2016) 073003 (20pp) doi:10.1088/2040-8978/18/7/073003 Roadmap Roadmap on silicon photonics David Thomson1,10,11, Aaron Zilkie2, John E Bowers3, Tin Komljenovic3, Graham T Reed1, Laurent Vivien4, Delphine Marris-Morini4, Eric Cassan4, Léopold Virot5,6, Jean-Marc Fédéli5,6, Jean-Michel Hartmann5,6, Jens H Schmid7, Dan-Xia Xu7, Frédéric Boeuf8, Peter O’Brien9, Goran Z Mashanovich1 and M Nedeljkovic1 1 Optoelectronics Research Centre, University of Southampton, Southampton, SO17 1BJ, UK 2 Rockley Photonics Inc., 234 E. Colorado Blvd, Suite 600, Pasadena, CA, 91101, USA 3 University of California, Santa Barbara, Electrical and Computer Engineering Department, Santa Barbara, CA 93106, USA 4 Centre for Nanoscience and Nanotechnology (C2N), CNRS, Université Paris Sud, Université Paris- Saclay, France 5 University of Grenoble Alpes, F-38000 Grenoble, France 6 CEA, LETI, Minatec Campus, 17 rue des Martyrs, F-38054 Grenoble, France 7 Information and Communications Technologies Portfolio, National Research Council of Canada, 1200 Montreal Road, Ottawa, Ontario K1A 0R6, Canada 8 STMicroelectronics (Crolles 2) SAS, 850 Rue Jean Monnet, BP 16, Crolles Cedex, France 9 Tyndall National Institute, University College Cork, Cork, Ireland E-mail: [email protected] Received 18 September 2015 Accepted for publication 24 February 2016 Published 24 June 2016 Abstract Silicon photonics research can be dated back to the 1980s. -
Inverse Design for Silicon Photonics: from Iterative Optimization Algorithms to Deep Neural Networks
applied sciences Review Inverse Design for Silicon Photonics: From Iterative Optimization Algorithms to Deep Neural Networks Simei Mao 1,2, Lirong Cheng 1,2 , Caiyue Zhao 1,2, Faisal Nadeem Khan 2, Qian Li 3 and H. Y. Fu 1,2,* 1 Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen 518055, China; [email protected] (S.M.); [email protected] (L.C.); [email protected] (C.Z.) 2 Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China; [email protected] 3 School of Electronic and Computer Engineering, Peking University, Shenzhen 518055, China; [email protected] * Correspondence: [email protected]; Tel.: +86-755-3688-1498 Abstract: Silicon photonics is a low-cost and versatile platform for various applications. For design of silicon photonic devices, the light-material interaction within its complex subwavelength geometry is difficult to investigate analytically and therefore numerical simulations are majorly adopted. To make the design process more time-efficient and to improve the device performance to its physical limits, various methods have been proposed over the past few years to manipulate the geometries of silicon platform for specific applications. In this review paper, we summarize the design methodologies for silicon photonics including iterative optimization algorithms and deep neural networks. In case of iterative optimization methods, we discuss them in different scenarios in the sequence of increased degrees of freedom: empirical structure, QR-code like structure and irregular structure. We also review inverse design approaches assisted by deep neural networks, which generate multiple devices Citation: Mao, S.; Cheng, L.; Zhao, with similar structure much faster than iterative optimization methods and are thus suitable in C.; Khan, F.N.; Li, Q.; Fu, H.Y. -
Recent Advances in Silicon Photonic Integrated Circuits John E
Invited Paper Recent Advances in Silicon Photonic Integrated Circuits John E. Bowers*, Tin Komljenovic, Michael Davenport, Jared Hulme, Alan Y. Liu, Christos T. Santis, Alexander Spott, Sudharsanan Srinivasan, Eric J. Stanton, Chong Zhang Department of Electrical and Computer Engineering, University of California, Santa Barbara, CA 93106, USA *[email protected] ABSTRACT We review recent breakthroughs in silicon photonics technology and components and describe progress in silicon photonic integrated circuits. Heterogeneous silicon photonics has recently demonstrated performance that significantly outperforms native III-V components. The impact active silicon photonic integrated circuits could have on interconnects, telecommunications, sensors and silicon electronics is reviewed. Keywords: Heterogeneous silicon platform, integrated optoelectronics, optoelectronic devices, semiconductor lasers, silicon-on-insulator (SOI) technology, silicon photonics 1. INTRODUCTION Heterogeneous silicon photonics, due to its potential for medium- and large-scale integration, has been intensively researched. Recent developments have shown that heterogeneous integration not only allows for a reduced cost due to economy of scale, but also allows for same or even better performing devices than what has previously been demonstrated utilizing only III-V materials. Furthermore we believe that optical interconnects are the only way to solve the scaling limitation in modern processors, and that heterogeneous silicon photonics with on-chip sources is the best approach in the long term as it promises higher efficiency and lower cost. We address both beliefs in sections that follow. In this paper we plan to briefly address heterogeneous silicon approaches, and point-out that the heterogeneous silicon platform is more than just III-V on silicon but can have advantages for isolators, circulators and nonlinear devices (Section 2). -
High-Index Glass Waveguides for AR Roadmap to Consumer Market
High-Index Glass Waveguides for AR Roadmap to Consumer Market Dr. Xavier Lafosse Commercial Technology Director, Advanced Optics SPIE AR / VR / MR Conference February 2-4, 2020 Outline • Enabling the Display Industry Through Glass Innovations • Our Solutions for Augmented Reality Applications • The Challenges for Scalable and Cost-Effective Solutions Precision Glass Solutions © 2020 Corning Incorporated 2 Corning’s glass innovations have enabled displays for more than 80 years… 1939 1982 2019 Cathode ray tubes for Liquid crystal display (LCD) EAGLE XG® Glass is the black and white televisions glass for monitors, laptops LCD industry standard Precision Glass Solutions © 2020 Corning Incorporated 3 Corning is a world-renowned innovator and supplier across the display industry Cover Glass Glass For AR/MR Display for Display Waveguides Display Technologies Introduced glass panels for 1st active 12 years of innovation in cover Corning Precision Glass Solutions matrix LCD devices in 1980s glass for smartphones, laptops, (PGS) was the first to market with tablets & wearables ultra-flat, high-index wafers for top- Have sold 25 billion square feet of tier consumer electronic companies ® ® ® ® flagship Corning EAGLE XG Corning Gorilla Glass is now on pursuing augmented reality and more than 7 billion devices worldwide mixed reality waveguide displays Precision Glass Solutions © 2020 Corning Incorporated 4 PGS offers best-in-class glass substrates for semiconductor and consumer electronics applications Advanced Low-loss, low Wafer-level Waveguide -
Photonics and Optoelectronics
Photonics and Optoelectronics Effects of Line Edge Roughness on Photonic Device Performance through Virtual Fabrication ...................................... 43 Reprogrammable Electro-Chemo-Optical Devices ............................................................................................................... 44 On-chip Infrared Chemical Sensor Leveraging Supercontinuum Generation in GeSbSe Chalcogenide Glass Waveguide ............................................................................................................................... 45 Sensing Chemicals in the mid-Infrared using Chalcogenide Glass Waveguides and PbTe Detectors Monolithically Integrated On-chip ......................................................................................................... 46 Broadband Low-loss Nonvolatile Photonic Switches Based on Optical Phase Change Materials (O-PCMs) ............... 47 Chalcogenide Glass Waveguide-integrated Black Phosphorus mid-Infrared Photodetectors .......................................... 48 An Ultrasensitive Graphene-polymer Thermo-mechanical Bolometer ................................................................................ 49 Nanocavity Design for Reduced Spectral Diffusion of Solid-state Defects ......................................................................... 50 Two-dimensional Photonic Crystal Cavities in Bulk Single-crystal Diamond ....................................................................... 51 Quasi-Bessel-Beam Generation using Integrated Optical Phased Arrays .......................................................................... -
University of California Santa Cruz Distributed Bragg
UNIVERSITY OF CALIFORNIA SANTA CRUZ DISTRIBUTED BRAGG REFLECTOR ON ARROW WAVEGUIDES A thesis submitted in partial satisfaction of the requirements for the degree of BACHELOR OF SCIENCE in PHYSICS by Raul A. Reyes Hueros June 2018 The thesis of Raul A. Reyes Hueros is approved: Professor Robert P. Johnson, Chair Professor Holger Schmidt Professor David Smith Copyright c by Raul A. Reyes Hueros 2018 Abstract Distributed Bragg Reflector on ARROW Waveguides by Raul A. Reyes Hueros A new optofluidic chip design for an on-chip liquid dye laser based on Anti- Resonant Reflecting Optical Waveguides (ARROW) is developed. The microfluidic device is compact, user friendly and, most importantly, can provide the role of a on chip laser. This thesis can be broken into three parts: First, an analysis on distributive feed back (DFB) gratings that is developed to fabricate a optofluidic dye laser from anti-resonant reflecting optical waveguides (ARROW). Second, the reflection spectrum and plausible parameters for the proposed device are simulated with Roaurd's Method. Third, a technique for direct dry transfer of uniform poly (methyl methacrylate) (PMMA) is used to overcome the challenges encountered in conventional PMMA deposition on top of non-flat waveguide structures. Table of Contents Abstract iii List of Figures vi List of Tables viii Acknowledgments ix 1 Introduction 1 1.1 Motivations for Building On-chip Bragg Reflector . 2 1.2 Thesis Organization . 3 2 Background 4 2.1 Distributed Bragg Reflector Gratings . 4 2.2 Organic Dye Molecules . 7 2.2.1 Population Inversion . 7 2.3 Liquid Dye Laser . 9 3 Anti-Resonant Reflecting Optical Waveguides 12 3.1 Theory . -
Silicon Photonics for Extreme Scale Systems
JOURNAL OF LIGHTWAVE TECHNOLOGY, VOL. 37, NO. 2, JANUARY 15, 2019 245 Silicon Photonics for Extreme Scale Systems Yiwen Shen , Student Member, IEEE, Xiang Meng, Member, IEEE, Qixiang Cheng , Member, IEEE, Sebastien´ Rumley , Nathan Abrams, Alexander Gazman , Evgeny Manzhosov, Madeleine Strom Glick, Senior Member, IEEE, Senior Member, OSA, and Keren Bergman , Fellow, IEEE, Fellow, OSA (Invited Tutorial) Abstract—High-performance systems are increasingly bottle- croprocessors with memory, accelerators, storage, and network necked by the growing energy and communications costs of in- components form the basis for realizing future massive parallel terconnecting numerous compute and memory resources. Recent supercomputers. While developments in parallelism have so far advances in integrated silicon photonics offer the opportunity of embedding optical connectivity that directly delivers high off-chip produced performance growth, the scalability of the system de- communication bandwidth densities with low power consumption. pends on the underlying interconnection technology to provide This paper reviews the design and integration of silicon photonic adequate bandwidth resources and minimal latency to memory interconnection networks that address the data-movement chal- and storage nodes to achieve the full computation potential of lenges in high-performance systems. Beyond alleviating the band- each processor. width/energy bottlenecks, embedded photonics can enable new dis- aggregated architectures that leverage the distance independence Over the last few years however, the growth of interconnect of optical transmission. This review paper presents some of the key bandwidth capacity has not been able to match the pace of the interconnect requirements to create a new generation of photonic increase in raw processing power gained through parallelism. -
Waveguide Propagation
NTNU Institutt for elektronikk og telekommunikasjon Januar 2006 Waveguide propagation Helge Engan Contents 1 Introduction ........................................................................................................................ 2 2 Propagation in waveguides, general relations .................................................................... 2 2.1 TEM waves ................................................................................................................ 7 2.2 TE waves .................................................................................................................... 9 2.3 TM waves ................................................................................................................. 14 3 TE modes in metallic waveguides ................................................................................... 14 3.1 TE modes in a parallel-plate waveguide .................................................................. 14 3.1.1 Mathematical analysis ...................................................................................... 15 3.1.2 Physical interpretation ..................................................................................... 17 3.1.3 Velocities ......................................................................................................... 19 3.1.4 Fields ................................................................................................................ 21 3.2 TE modes in rectangular waveguides .....................................................................