Silicon Photonic Biosensors
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Chemical Engineering Education Graduate Education in Chemical Engineering
I • N • D • E • X GRADUATE EDUCATION ADVERTISEMENTS Akron, Uni versity of. .......... , .... ... .................. 321 Iowa State Uni versity .................. ... ....... ....... 360 Pensylvania State Uni versity ........................ 395 Alabama, University of ................................ 322 Johns Hopkins University .... .... .. .... .... .......... 361 Pittsburgh, University of .............................. 396 Alabama, Huntsville; Uni versity of.. .... .. ..... 323 Kansas, University of ............................... .... 362 Polytechnic University .. .... ... .... ........... .. ..... .. 397 Alberta, Uni versity of .. ........ .... .. .... ... ..... ..... .. 324 Kansas State University ............... ... ...... ........ 363 Princeton University ....................... .......... .. .. 398 Arizona, University of ....... .. .... .. .... ... .. ... ....... 325 Kentucky, Uni versity of ........................ .. ..... 364 Purdue University .. ........... ... ... ....... ... .... .... ... 399 Arizona State University ..... .. ... ...... ..... ......... 326 Lamar University .. ... ..... ..... ......... ........... .. ..... 430 Rensselaer Polytechnic Institute .... ...... .... ... .. 400 Auburn Uni versity .. ..... .. ... ..... .. .............. .... ... 327 Laval Universite ...................... ........... ...... .. .. 365 Rhode Island, University of.. .... ..... .. ... ..... .. ... 435 Bri gham Young Uni versity .............. ... .. ..... ... 427 Lehigh University .................................. .... ... 366 Rice University -
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. -
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). -
Underwater Transformer
ALL ABOARD THE THE LAST A FORGOTTEN MICROGRIDS HYDROGEN TRAIN TRANSISTOR? REVOLUTION GO MOBILE Fuel cells go the Nanosheet devices and Why switching power A new and cleaner extra mile the end of Moore’s Law supplies triumphed way to power a ferry P. 06 P. 30 P. 36 P. 42 THIS UNTETHERED HALF HUMANOID WILL WORK ON OFFSHORE OIL RIGS AND GO DEEPER THAN FOR THE FOR THE TECHNOLOGY INSIDERTECHNOLOGY | 08.19 HUMAN DIVERS INSIDER P. 22 08.19 THE UNDERWATER TRANSFORMER Subscriber Address Box Zurich Instruments ∏ Arbitrary Waveform Generators ∏ Impedance Analyzers ∏ Lock-in Amplifiers ∏ Quantum Computing Control Systems experience LabOne LabOne® provides users with a platform independent instrument control including proven measurement methodo- logies. It's designed to offer a great amount of flexibility for instrument usage and assures quick and efficient ope- ration. The browser based user interface provides an outstanding toolset for time and frequency domain analysis as well as sophisticated support to set up control loops, making noise measure- ments or to interpret measurement data. Let's discuss your application Intl. +41 44 515 0410 USA 855-500-0056 (Toll Free) [email protected] www.zhinst.com CONTENTS_08.19 THE UNDER- WATER 30 THE LAST 36 THE QUIET 42 HAPPINESS IS 06 NEWS SILICON REMAKING OF A HYBRID-ELECTRIC 14 RESOURCES TRANSFORMER TRANSISTOR COMPUTER POWER FERRY 04 OPINION The next step in SUPPLIES The retrofitted 52 PAST FORWARD A startup founded by ex-NASA the evolution of the Here’s how the ship offers a clean, engineers wants to upend subsea transistor is the compact and efficient quiet ride for 4,500 nanosheet device. -
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 .......................................................................... -
Development of a First-Generation Miniature Multiple Reference Optical Coherence Tomography Imaging Device
Development of a first-generation miniature multiple reference optical coherence tomography imaging device Paul M. McNamara Roshan Dsouza Colm O’Riordan Seán Collins Peter O’Brien Carol Wilson Josh Hogan Martin J. Leahy Paul M. McNamara, Roshan Dsouza, Colm O’Riordan, Seán Collins, Peter O’Brien, Carol Wilson, Josh Hogan, Martin J. Leahy, “Development of a first-generation miniature multiple reference optical coherence tomography imaging device,” J. Biomed. Opt. 21(12), 126020 (2016), doi: 10.1117/1.JBO.21.12.126020. Downloaded From: http://biomedicaloptics.spiedigitallibrary.org/ on 01/02/2017 Terms of Use: http://spiedigitallibrary.org/ss/termsofuse.aspx Journal of Biomedical Optics 21(12), 126020 (December 2016) Development of a first-generation miniature multiple reference optical coherence tomography imaging device Paul M. McNamara,a,b,* Roshan Dsouza,a,b Colm O’Riordan,c Seán Collins,c Peter O’Brien,c Carol Wilson,b Josh Hogan,b and Martin J. Leahya aNational University of Ireland, School of Physics, Tissue Optics and Microcirculation Imaging Group, National Biophotonics and Imaging Platform, Galway H91 CF50, Ireland bCompact Imaging Inc., 897 Independence Avenue, Suite 5B, Mountain View, California 94043, United States cIrish Photonic Integration Centre (IPIC), Tyndall National Institute, Lee Maltings Complex, Dyke Parade, Cork T12 R5CP, Ireland Abstract. Multiple reference optical coherence tomography (MR-OCT) is a technology ideally suited to low-cost, compact OCT imaging. This modality is an extension of time-domain OCT with the addition of a partial mirror in front of the reference mirror. This enables extended, simultaneous depth scanning with the relatively short scan range of a miniature voice coil motor on which the scanning mirror is mounted. -
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. -
Effect of Low-Level Laser Therapy On
Ann Appl Sport Sci 9(2): e912, 2021. http://www.aassjournal.com; e-ISSN: 2322–4479. 10.29252/aassjournal.912 ORIGINAL ARTICLE Effect of Low-Level Laser Therapy on Muscle Strength and Endurance and Post-Exercise Recovery of Young Adult: A Double- Blind, Placebo-Controlled, Randomized Clinical Trial 1Amir Hosein Abedi Yekta, 2Faraj Tabeii, 1Shahin Salehi, 3Mohammad-Reza Sohrabi, 1Mehrshad Poursaeidesfahani, 4Mohammad Hassabi*, 1Nina Hazegh*, 1Behnaz Mahdaviani 1Department of Sports Medicine, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.2Department of Nuclear Medicine, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.3Department of Community Medicine, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.4Taleghani Hospital, Research Development committee, Department of Sports Medicine, Shahid Beheshti University of medical Sciences, Tehran, Iran. Submitted 29 July 2020; Accepted in final form 30 October 2020. ABSTRACT Background. Recovery or post-exercise rehabilitation is an essential part of exercise training. Low-level Laser Therapy (LLLT) is a modality increasing interest for recovery because of having a conservative and non-aggressive method. LLLT also decreases the production of fatigue-related biomechanical markers, such as lactate, C-reactive protein (CRP), and Creatine kinase (CK). Objectives. To investigate the effect of low-level laser therapy on muscle strength and endurance and post-exercise recovery of young adults between 20-35 years old. Methods. Fifty subjects were enrolled in this double-blind, placebo-controlled, randomized clinical trial study. Three days after the familiarization session, the subjects were divided into two groups via block randomization: the first group received pre-exercise laser at 810 nm, 60mW, and 60Hz frequency for 30 seconds on three point’s rectus femoris muscle. -
Silicon Photonic Integrated Circuits
Silicon Photonic Integrated Circuits Roger Helkey John Bowers University of California, Santa Barbara Art Gossard, Jonathan Klamkin, Dan Blumenthal, Minjoo Larry Lee1, Kei May Lau2, Yuya Shoji3, Tetsuya Mizumoto3, Paul Morton4, Tin Komljenovic, N. Volet, Paolo Pintus, Xue Huang, Daehwan Jung2, Shangjian Zhang, Chong Zhang, Jared Hulme, Alan Liu, Mike Davenport, Justin Norman, Duanni Huang, Alex Spott, Eric J. Stanton, Jon Peters, Sandra Skendzic, Charles Merritt5, William Bewley5, Igor Vurgaftman5, Jerry Meyer5, Jeremy Kirch6, Luke Mawst6, Dan Botez6 1 Yale University 2 Tokyo Institute of Technology 3 Hong Kong University of Science and Technology 4 Morton Photonics 5 Naval Research Laboratory 6 University of Wisconsin UCSB Research supported by ONR, Mike Haney ARPA-E, 1 Conway, Lutwak at DARPA MTO, Aurrion, Keysight What is Silicon Photonics? • Making photonic integrated circuits on Silicon using CMOS process technology in a CMOS fab • Improved performance and better process control • Wafer scale testing • Low cost packaging • Scaling to >1 Tb/s High bandwidth High volume Long distances Low cost Noise Immunity High Scalability 2 Advantage - Waveguide loss InP / GaAs Optimized Si Si Bauters et al. Optics Express (2011) Silicon Photonics Papers First Hybrid Silicon PIC with >200 photonic elements (2014) Hybrid Silicon Modulator with 74 GHz BW (2012) First Hybrid Silicon DFB (2008) First Hybrid Silicon PIC (2007) First Hybrid Silicon Photodiode (2007) First Hybrid Silicon Amplifier (2006) First Hybrid Silicon Laser (2005) Soref and Bennet