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Clemson University Power Systems Conference, PSC 2016

作者： Narayanan, Rajesh Xu, Ke Wang, Kuang-Ching Kumar Venayagamoorthy, G. Dell Research Santa ClaraCA United States Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering Clemson University SC United States

ISBN: (纸本)9781509006878

Smart grids are recognized as the next-generation power grid that uses digital information and communications technology to create an advanced, automated, and efficient energy network among a wealth of electronic appliances, meters, and energy producing and distributing devices. As more complex and distributed interactions among these different components are envisioned, an open, scalable, and manageable framework is needed to support the communication and computing needs. This paper proposes an innovative method to derive scalable information infrastructure for smart grids. The framework well aligns with the emerging micro-grid operational model of the smart grid. A prototype framework is being developed consisting of CloudLab [1], GENI [2] wired and wireless networks, and real-time power system platform at the RTPIS Lab [3]. © 2016 IEEE.

关键词： Smart power grids

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Mesostructured composite materials with electrically tunable upconversion properties

arXiv

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arXiv 2017年

作者： Mundoor, Haridas Smalyukh, Ivan I. Department of Physics and Department of Electrical Computer and Energy Engineering Liquid Crystal Materials Research Center University of Colorado BoulderCO80309 Singapore Materials Science and Engineering Program Liquid Crystal Materials Research Center University of Colorado BoulderCO80309 Renewable and Sustainable Energy Institute National Renewable Energy Laboratory University of Colorado BoulderCO80309 United States

A promising approach of designing mesostructured materials with novel physical behavior is to combine unique optical and electronic properties of solid nanoparticles with long-range ordering and facile response of soft matter to weak external stimuli. Here we design, practically realize, and characterize orientationally ordered nematic liquid crystalline dispersions of rod-like upconversion nanoparticles. Boundary conditions on particle surfaces, defined through surface functionalization, promote spontaneous unidirectional self-alignment of the dispersed rod-like nanoparticles, mechanically coupled to the molecular ordering direction of the thermotropic nematic liquid crystal host. As host is electrically switched at low voltages . 1V, nanorods rotate, yielding tunable upconversion and polarized luminescence properties of the composite. We characterize spectral and polarization dependencies, explain them through invoking models of electrical switching and upconversion dependence on crystalline matrices of nanorods, and discuss potential practical uses. Copyright © 2017, The Authors. All rights reserved.

关键词： Nanorods

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On graphene-based THz plasmonic nano-antennas 16

On graphene-based THz plasmonic nano-antennas

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16th Mediterranean Microwave Symposium, MMS 2016

作者： Elayan, Hadeel Shubair, Raed M. Kiourti, Asimina Electrical and Computer Engineering Department Khalifa University United Arab Emirates Research Laboratory of Electronics Massachusetts Institute of Technology United States ElectroScience Laboratory The Ohio State University ColumbusOH United States

ISBN: (纸本)9781509025862

Graphene-enabled wireless communications create an innovative archetype proposed to implement wireless communications at the nanoscale. Indeed, graphene-based nano-antennas, or graphennas, are few micrometers in size. Such antennas have been predicted to radiate electromagnetic waves at the Terahertz band. Hence, they do not only provide better integrability for future miniaturized wireless systems but also represent an enabling technology for applications such as wireless nano-sensor networks and Internet-of-Things (IoT). This paper surveys the existing research which investigates the state-of-art of graphene-based plasmonic nano-antennas. The paper focuses on the propagation of Surface Plasmon Polariton (SPP) waves since they set up the main characteristics of these antennas. Various fundamental properties of plasmonic antennas are also discussed providing useful guidelines for future designers of these antennas. The paper also addresses the future research areas of graphene-based Terahertz nano-antennas. © 2016 IEEE.

关键词： Plasmonics

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Compact photoacoustic module for methane detection incorporating interband cascade light emitting device

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Optics express 2017年第14期25卷 16761-16770页

作者： Huadan Zheng Minhan Lou Lei Dong Hongpeng Wu Weilin Ye Xukun Yin Chul Soo Kim Mijin Kim William W Bewley Charles D Merritt Chadwick L Canedy Michael V Warren Igor Vurgaftman Jerry R Meyer Frank K Tittel Department of Electrical and Computer Engineering Rice University 6100 Main Street Houston TX 77005 USA State Key Laboratory of Quantum Optics and Quantum Optics Devices Institute of Laser Spectroscopy Shanxi University Taiyuan 030006 China U.S. Naval Research Laboratory Washington DC 20375 USA Sotera Defense Solutions Inc. Crofton MD 21114 USA ASEE Fellow at U.S. Naval Research Laboratory Washington DC 20375 USA

A photoacoustic module (PAM) for methane detection was developed by combining a novel 3.2 μm interband cascade light emitting device (ICLED) with a compact differential photoacoustic cell. The ICLED with a 22-stage interband cascade active core emitted a collimated power of ~700 μW. A concave Al-coat reflector was positioned adjacent to the photoacoustic cell to enhance the gas absorption length. Assembly of the ICLED and reflector with the photoacoustic cell resulted in a robust and portable PAM without any moving parts. The PAM performance was evaluated in terms of operating pressure, sensitivity and linearity. A 1σ detection limit of 3.6 ppmv was achieved with a 1-s integration time.

关键词： Absorption spectroscopy Laser sources Optical absorption Quantum cascade semiconductor lasers Single mode lasers Tunable diode laser absorption spectroscopy

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Liquid crystal self-assembly of upconversion nanorods enriched by depletion forces for mesostructured material preparation

arXiv

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arXiv 2017年

作者： Xie, Yong Li, Yuanyuan Wei, Guoqing Liu, Qingkun Mundoor, Haridas Chen, Ziyu Smalyukh, Ivan I. Department of Physics Material Science and Engineering Program Department of Electrical Computer& Energy Engineering Liquid Crystal Materials Research Center University of Colorado BoulderCO80309 United States Department of Physics Beihang University Beijing100191 China National Renewable Energy Laboratory and University of Colorado Renewable and Sustainable Energy Institute BoulderCO80309 United States

Monodisperse rod-like colloidal particles are known for spontaneously forming both nematic and smectic liquid crystal phases, but their self-assembly was typically exploited from the fundamental soft condensed matter physics perspective. Here we demonstrate that depletion interactions, driven by non-adsorbing polymers like dextran and surfactants, can be used to enrich self-organization of photon-upconversion nanorods into orientationally ordered nematic and smectic-like membrane colloidal superstructures. We study thermodynamic phase diagrams and demonstrate polarization-dependent photon upconversion exhibited by the ensuing composites, which arises from the superposition of unique properties of the solid nanostructures and the long-range ordering enabled by liquid crystalline self-organization. Finally, we discuss how our method of utilizing self-assembly due to the steric and electrostatic interactions, along with attractive depletion forces, can enable technological uses of lyotropic colloidal liquid crystals and mesostructured composite materials enabled by them, even when they are formed by anisotropic nanoparticles with relatively small aspect ratios. Copyright © 2017, The Authors. All rights reserved.

关键词： Nanorods

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104Characteristics of non-culprit plaques in acute coronary syndrome patients with previous plaque disruption at the culprit lesion

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European Heart Journal 2019年第SUPPLEMENT_1期40卷

作者： Russo, M Kurihara, O Kim, H O Thondapu, V Yonetsu, T Soeda, T Minami, Y Lee, H Fracassi, F Vergallo, R Niccoli, G Crea, F Fujimoto, J G Fuster, V Jang, I K Massachusetts General Hospital Cardiology Division Boston United States of America Tokyo Medical and Dental University Department of Interventional Cardiology Tokyo Japan Nara Medical University Department of Cardiovascular Medicine Nara Japan Kitasato University School of Medicine Department of Cardiovascular Medicine Sagamihara Japan Massachusetts General Hospital Biostatistics Center Boston United States of America Catholic University of the Sacred Heart Department of Cardiovascular and Thoracic Sciences Rome Italy Massachusetts Institute of Technology The Research Laboratory of Electronics Department of Electrical Engineering and Computer Science Cambridge United States of America Icahn School of Medicine at Mount Sinai Zena and Michael A. Wiener Cardiovascular Institute New York United States of America

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Deep learning for multi-messenger astrophysics a gateway for discovery in the big data era

arXiv

引用

arXiv 2019年

作者： Allen, Gabrielle Andreoni, Igor Bachelet, Etienne Bruce Berriman, G. Bianco, Federica B. Biswas, Rahul Kind, Matias Carrasco Chard, Kyle Cho, Minsik Cowperthwaite, Philip S. Etienne, Zachariah B. George, Daniel Gibbs, Tom Graham, Matthew Gropp, William Gupta, Anushri Haas, Roland Huerta, E.A. Jennings, Elise Katz, Daniel S. Khan, Asad Kindratenko, Volodymyr Kramer, William T.C. Liu, Xin Mahabal, Ashish McHenry, Kenton Miller, J.M. Neubauer, M.S. Oberlin, Steve Olivas, Alexander R. Rosofsky, Shawn Ruiz, Milton Saxton, Aaron Schutz, Bernard Schwing, Alex Seidel, Ed Shapiro, Stuart L. Shen, Hongyu Shen, Yue Sipocz, Brigitta M. Sun, Lunan Towns, John Tsokaros, Antonios Wei, Wei Wells, Jack Williams, Timothy J. Xiong, Jinjun Zhao, Zhizhen NCSA University of Illinois at Urbana-Champaign UrbanaIL61801 United States Department of Astronomy University of Illinois at Urbana-Champaign UrbanaIL61801 United States California Institute of Technology 1200 E California Blvd PasadenaCA91125 United States Las Cumbres Observatory 6740 Cortona Drive Suite 102 GoletaCA93117 United States Caltech/IPAC-NExScI 1200 E California Blvd PasadenaCA91125 United States Department of Physics and Astronomy University of Delaware NewarkDE19716 United States Joseph R. Biden Jr . School of Public Policy and Administration University of Delaware NewarkDE19716 United States Data Science Institute University of Delaware NewarkDE19716 United States Center for Urban Science and Progress New York University 370 Jay St BrooklynNY11201 United States The Oskar Klein Centre for Cosmoparticle Physics Stockholm University AlbaNova StockholmSE-106 91 Sweden University of Chicago ChicagoIL60605 United States IBM Systems AustinTX78717 United States Observatories of the Carnegie Institution for Science 813 Santa Barbara St. PasadenaCA91101 United States Department of Mathematics West Virginia University MorgantownWV26506 United States Center for Gravitational Waves and Cosmology West Virginia University Chestnut Ridge Research Building MorgantownWV26505 United States NVIDIA 2788 San Tomas Expressway Santa ClaraCA95050 United States Center for Data Driven Discovery Caltech PasadenaCA91125 United States Department of Computer Science University of Illinois at Urbana-Champaign UrbanaIL61801 United States Argonne National Laboratory Leadership Computing Facility LemontIL60439 United States Department of Electrical & Computer Engineering University of Illinois at Urbana-Champaign UrbanaIL61801 United States School of Information Sciences University of Illinois at Urbana-Champaign UrbanaIL61801 United States Department of Physics University of Illinois at Urbana-Champaign UrbanaIL61801 Unit

This report provides an overview of recent work that harnesses the Big Data Revolution and Large Scale Computing to address grand computational challenges in Multi-Messenger Astrophysics, with a particular emphasis on real-time discovery campaigns. Acknowledging the transdisciplinary nature of Multi-Messenger Astrophysics, this document has been prepared by members of the physics, astronomy, computer science, data science, software and cyberinfrastructure communities who attended the NSF-, DOE- and NVIDIA-funded "Deep Learning for Multi-Messenger Astrophysics: Real-time Discovery at Scale" workshop, hosted at the National Center for Supercomputing Applications, October 17-19, 2018. Highlights of this report include unanimous agreement that it is critical to accelerate the development and deployment of novel, signal-processing algorithms that use the synergy between artificial intelligence (AI) and high performance computing to maximize the potential for scientific discovery with Multi-Messenger Astrophysics. We discuss key aspects to realize this endeavor, namely (i) the design and exploitation of scalable and computationally efficient AI algorithms for Multi-Messenger Astrophysics;(ii) cyberinfrastructure requirements to numerically simulate astrophysical sources, and to process and interpret Multi-Messenger Astrophysics data;(iii) management of gravitational wave detections and triggers to enable electromagnetic and astro-particle follow-ups;(iv) a vision to harness future developments of machine and deep learning and cyberinfrastructure resources to cope with the scale of discovery in the Big Data Era;(v) and the need to build a community that brings domain experts together with data scientists on equal footing to maximize and accelerate discovery in the nascent field of Multi-Messenger Astrophysics. Copyright © 2019, The Authors. All rights reserved.

关键词： Big data

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Electronic and optical properties of vacancy defects in single-layer transition metal dichalcogenides

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Physical Review B 2017年第24期95卷 245435-245435页

作者： M. A. Khan Mikhail Erementchouk Joshua Hendrickson Michael N. Leuenberger NanoScience Technology Center Department of Physics and College of Optics and Photonics University of Central Florida Orlando Florida 32826 USA Department of Applied Physics Federal Urdu University of Arts Science and Technology Islamabad Pakistan Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor Michigan 48109 USA Air Force Research Laboratory Sensors Directorate Wright-Patterson Air Force Base Ohio 45433 USA

A detailed first-principles study has been performed to evaluate the electronic and optical properties of single-layer (SL) transition metal dichalcogenides (TMDCs) (MX2; M = transition metal such as Mo, W, and X = S, Se, Te), in the presence of vacancy defects (VDs). Defects usually play an important role in tailoring electronic, optical, and magnetic properties of semiconductors. We consider three types of VDs in SL TMDCs: (i) X vacancy, (ii) X2 vacancy, and (iii) M vacancy. We show that VDs lead to localized defect states (LDS) in the band structure, which in turn gives rise to sharp transitions in in-plane and out-of-plane optical susceptibilities, χ∥ and χ⊥. The effects of spin-orbit coupling (SOC) are also considered. We find that SOC splitting in LDS is directly related to the atomic number of the transition metal atoms. Apart from electronic and optical properties we also find magnetic signatures (local magnetic moment of ∼μB) in MoSe2 in the presence of the Mo vacancy, which breaks the time-reversal symmetry and therefore lifts the Kramers degeneracy. We show that a simple qualitative tight-binding model (TBM), involving only the hopping between atoms surrounding the vacancy with an on-site SOC term, is sufficient to capture the essential features of LDS. In addition, the existence of the LDS can be understood from the solution of the two-dimensional Dirac Hamiltonian by employing infinite mass boundary conditions. In order to provide a clear description of the optical absorption spectra, we use group theory to derive the optical selection rules between LDS for both χ∥ and χ⊥.

关键词： Transition metal dichalcogenides Density functional theory

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DC MUX PUF: A Highly Reliable Feed-Back MUX PUF Based on Measuring Duty Cycle

DC MUX PUF: A Highly Reliable Feed-Back MUX PUF Based on Mea...

引用

IEEE International Conference on ASIC

作者： Yunhao Xu Yingjie Lao Weiqiang Liu Xiaohu You Chuan Zhang National Mobile Communications Research Laboratory Southeast University Nanjing China Lab of Efficient Architectures for Digital-communication and Signal-processing (LEADS) Department of Electrical and Computer Engineering Clemson University Clemson SC USA College of Electronic and Information Engineering Nanjing Uni. Aero. & Astro Nanjing China

Ring oscillator physical unclonable function (RO PUF) and multiplexer physical unclonable function (MUX PUF) are the two mostly used structures that make use of gate delay, but their reliability is not satisfactory enough. In this paper, a new structure, duty cycle multiplexer physical unclonable function (DC MUX PUF) is proposed to improve the reliability. A feed-back structure is added to original MUX PUF and decision method is also changed by measuring duty cycle. Then a simplified model is built to calculate the reliability of DC MUX PUF, a primary Monte Carlo simulation with this model is accomplished. The reliability of DC MUX PUF and the original MUX PUF are compared, and it is suggested that DC MUX PUF performs better than original MUX PUF considering noise variation. Then temperature variation is considered, and simulated by HSPICE. It is suggested that reliability of them are both above 95% when temperature varies. Uniqueness and randomness are all more than 90%. Then the complexity of two kinds of PUF are also taken into consideration. When challenge length becomes long, complexity of this design is relatively lower than original MUX PUF.

关键词： Physical unclonable function feed-back MUX PUF Monte Carlo model reliability

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Sensorless current model predictive control for maximum power point tracking of single-phase subMultilevel inverter for photovoltaic systems

Sensorless current model predictive control for maximum powe...

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2016 IEEE Energy Conversion Congress and Exposition, ECCE 2016

作者： Metry, Morcos Bayhan, Sertac Shadmand, Mohammad B. Balog, Robert S. Rub, Haitham Abu Renewable Energy and Advanced Power Electronics Research Laboratory Department of Electrical and Computer Engineering Texas AandM University College StationTX77843 United States Electrical and Computer Engineering Program Texas AandM University at Qatar Qatar Foundation Doha23874 Qatar Department of Electronics and Automation Gazi University Ankara Turkey

ISBN: (纸本)9781509007370

Stochastic dynamic behavior of solar energy necessitates the use of robust controllers for photovoltaic (PV) power electronics interfaces to maximize the energy harvest by continuous operation at maximum power point (MPP). This paper proposes a sensorless current model predictive control maximum power point tracking (SC-MPC-MPPT) algorithm. By predicting the future behavior of the power conversion stage, the proposed controller features fast and stable performance under dynamic ambient condition and negligible oscillation around MPP at steady state. Moreover, it does not require expensive sensing and communication equipment and networks to directly measure the changing solar insolation level. The power conversion stage includes an upstream boost dc/dc power conversion to a dc-link capacitor, and a downstream seven-level sub-Multilevel Inverter (sMI) from the dc-link capacitor to the grid. The sMI is using three power arms cascaded with an H-bridge inverter. This topology brings considerable benefits such as reduced number of power switches and their gate drivers when compared to the traditional multilevel inverters. Model Predictive Control (MPC) is employed for current regulation of the sMI, thus eliminating the need of cascaded classical control loops and modulator. The proposed SC-MPC-MPPT technique for a boost converter is implemented experimentally using the dSPACE DS1007 platform. © 2016 IEEE.

关键词： Model predictive control

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