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A Promising Carbon/g‐C3N4Composite Negative Electrode for a Long‐Life Sodium‐Ion Battery

Angewandte Chemie 2019年第39期131卷

作者： Guo‐Ming Weng Yu Xie Hang Wang Christopher Karpovich Jason Lipton Junqing Zhu Jaemin Kong Lisa D. Pfefferle André D. Taylor Department of Chemical and Biomolecular Engineering New York University Brooklyn New York 11201 USA Department of Chemical and Environmental Engineering Yale University New Haven Connecticut 06511 USA Key Laboratory of Physics and Technology for Advanced Batteries (Ministry of Education) & Innovation Center for Computational Physics Methods and Software & State Key Laboratory of Superhard Materials College of Physics Jilin University Changchun 130012 China

2D graphitic carbon nitride (g‐C 3 N 4 ) nanosheets are a promising negative electrode candidate for sodium‐ion batteries (NIBs) owing to its easy scalability, low cost, chemical stability, and potentially high rate capability. However, intrinsic g‐C 3 N 4 exhibits poor electronic conductivity, low reversible Na‐storage capacity, and insufficient cyclability. DFT calculations suggest that this could be due to a large Na + ion diffusion barrier in the innate g‐C 3 N 4 nanosheet. A facile one‐pot heating of a mixture of low‐cost urea and asphalt is strategically applied to yield stacked multilayer C/g‐C 3 N 4 composites with improved Na‐storage capacity (about 2 times higher than that of g‐C 3 N 4 , up to 254 mAh g −1 ), rate capability, and cyclability. A C/g‐C 3 N 4 sodium‐ion full cell (in which sodium rhodizonate dibasic is used as the positive electrode) demonstrates high Coulombic efficiency (ca. 99.8 %) and a negligible capacity fading over 14 000 cycles at 1 A g −1 .

关键词： Komposite Graphitisches Kohlenstoffnitrid Nanoschichten Natrium-Ionen-Batterien 2D-Materialien

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Prototype balloon for inspection of offshore platforms powered by renewable energy controlled by electronics prototyping platform

Prototype balloon for inspection of offshore platforms power...

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Offshore Technology Conference Asia 2016, OTCA 2016

作者： Albino, Ribeiro Neto Landau, Luiz National Service for Industrial Training - SENAI FIRJAN Laboratory for Computational Methods in Engineering LAMCE COPPE UFRJ Brazil Laboratory for Computational Methods in Engineering LAMCE COPPE UFRJ Brazil

ISBN: (纸本)9781510830721

The purpose of this research is the development of a prototype balloon anchored to a vessel for inspection of offshore platforms and monitoring of environmental damage with the use of solar panels, infrared camera and controlled by an Arduino platform. The possible environmental damage in offshore platforms require continuous monitoring as prevention and for repairs in case of accident, in this study the tool used for monitoring must provide continuous and uninterrupted monitoring of activities at a lower cost of operation. The method applied was the use of a balloon anchored to a vessel for continuous monitoring using an infrared camera as prevention and assistance for repairs in case of accidents occurring in open sea and various other situations in environmental damage inspections. The balloon will use helium gas for floating and a powertrain only for forced positioning, as the most part of the time it will be conducted with the wind to the sides, up and down through remotely controlled rudder. The use of other monitoring devices show several limitations when compared to the use of balloons, their great advantage is the autonomy compared to a drone (approximately 20 minutes) and the cost of operating a helicopter, thus, the cost-benefit enables its construction. The use of solar panels as a power source for batteries is an efficient solution for keeping its load, being applied for the continuous operation of equipment. The Arduino platform is a resource for various applications and its use in this prototype applies for the control and management of the following components that will be part of the monitoring balloon: solar plates, various sensors, GPS, motors and servo motors. © 2016, Offshore Technology Conference

关键词： Monitoring

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Visual simulator of remotely operated vehicle rov for training and qualification of new operators

Visual simulator of remotely operated vehicle rov for traini...

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Offshore Technology Conference Asia 2016, OTCA 2016

作者： Neto, Albino Ribeiro Landau, Luiz National Service for Industrial Training - SENAI FIRJAN Laboratory for Computational Methods in Engineering LAMCE COPPE UFRJ Brazil Laboratory for Computational Methods in Engineering LAMCE COPPE UFRJ Brazil

ISBN: (纸本)9781510830721

This work aims to build a visual simulator of low cost remotely operated vehicle (ROV) to be used as part of the initial training and qualification of new operators in the maintenance of wellheads, Christmas trees and monitoring the seabed. Besides the simulation of normal operation of the machine, the most common defects and failures that occur during operation will be implemented. The use of simulation in Virtual Reality in a three-dimensional synthetic environment was used enabling the operator to make choices, manipulate and visualize the equipment. The software used in the simulator allowed its development without the need of traditional programming knowledge. In this particular case the programming was done in a visual way by connecting pre-programmed blocks, thus enabling the drastic reduction of the development time of its application and eventual costs. The use of simulators to complement traditional training has been proven an efficient tool in the training of professionals in various fields. In some case studies previously analyzed, the comparison to traditional training methods in offshore operations and the excellent cost-benefit allows its development. The development of the simulator aims beyond a virtual training, but also the possibility of offering a low-cost tool compared to training with use of real equipment and even with other similar simulators already developed. © 2016, Offshore Technology Conference

关键词： Simulators

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Analogies from function, flow and performance metrics 24

Analogies from function, flow and performance metrics

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24th International Conference on Case-Based Reasoning Workshops, ICCBR-WS 2016

作者： Turner, Cameron J. Linsey, Julie Design Innovation and Computational Engineering Laboratory Clemson University United States Innovation Design Reasoning Engineering Education and Methods Laboratory Georgia Institute of Technology United States

The process of engineering design involves moving through different levels of abstraction of the design problem and solution. During this cycle, the use of analogies has been shown to be a powerful mechanism for the development of a design solution. These design analogies are often drawn from systems that embody a similar function-flow-performance metric combination. Yet, most existing design tools focus not on these abstract representations, but instead focus on functional, linguistic descriptions of the systems. This paper focuses on several significant concepts that are essential to the exploitation of function-flow-performance based comparisons of design analogies. Copyright © 2016 for this paper by its authors.

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Saline Intrusion Response to Sea Level Rise and Its Implications on Water and Coastal Management: A Case Study in Brazil

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Journal of Water Resource and Protection 2017年第5期9卷 510-522页

作者： Raquel Toste Paulo C. C. Rosman Marcos A. V. de Freitas Laboratory for Computational Methods in Engineering Federal University of Rio de Janeiro Rio de Janeiro Brazil Department of Oceanic Engineering Federal University of Rio de Janeiro Rio de Janeiro Brazil Department of Energetic Planning Federal University of Rio de Janeiro Rio de Janeiro Brazil

Global temperature is predicted to increase in the end of the century and one of the primary consequences of this warming is the sea level rise. Considering the vulnerabilities on coastal systems and water resources, it is important to evaluate the potential effects of this rising in coastal areas, since the saline intrusion on rivers would be intensified, leading to problems related to water quality. In this context, the present work aimed to verify saline intrusion changes along an important river, São Francisco Canal, located in Rio de Janeiro State, Brazil. For this purpose, a hydrodynamic modeling was performed using SisBaHiA, considering different sea levels and tide conditions. According to the results, it was verified the intensification on saline intrusion and higher salinity values due to a sea level rise of 0.5 m. These results show that new licenses for water withdrawals must be carefully analyzed as the fluvial flow plays an important role to contain the saltwater intrusion on the studied river. Accordingly, it is recommended the evaluation of climate change effects in order to choose best strategies to reduce coastal vulnerability, and the use of this theme on environmental licensing and territorial planning, integrating water planning with coastal management.

关键词： Saline Intrusion Sea Level Rise Water Resource Management

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Author Correction: Ferromagnetic quasi-atomic electrons in two-dimensional electride

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Nature communications 2020年第1期11卷 2514页

作者： Seung Yong Lee Jae-Yeol Hwang Jongho Park Chandani N Nandadasa Younghak Kim Joonho Bang Kimoon Lee Kyu Hyoung Lee Yunwei Zhang Yanming Ma Hideo Hosono Young Hee Lee Seong-Gon Kim Sung Wng Kim Department of Energy Science Sungkyunkwan University Suwon 16419 Republic of Korea. Center for Integrated Nanostructure Physics Institute for Basic Science Suwon 16419 Republic of Korea. Department of Physics Pukyong National University Busan 48513 Republic of Korea. Department of Physics & Astronomy and Center for Computational Sciences Mississippi State University Mississippi State Mississippi 39762 USA. Pohang Accelerator Laboratory Pohang University of Science and Technology Pohang 37673 Republic of Korea. Department of Physics Kunsan National University Gunsan 54150 Republic of Korea. Department of Materials Science and Engineering Yonsei University Seoul 03722 Republic of Korea. State Key Laboratory of Superhard Materials & Innovation Center of Computational Physics Methods and Software College of Physics Jilin University Changchun 130012 China. Materials Research Center for Element Strategy Tokyo Institute of Technology Yokohama 226-8503 Japan. Department of Energy Science Sungkyunkwan University Suwon 16419 Republic of Korea. kimsungwng@skku.edu. Center for Integrated Nanostructure Physics Institute for Basic Science Suwon 16419 Republic of Korea. kimsungwng@skku.edu.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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Generation of multi-fidelity, multi-discipline air vehicle models with the engineering sketch pad 54

Generation of multi-fidelity, multi-discipline air vehicle m...

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54th AIAA Aerospace Sciences Meeting, 2016

作者： Dannenhoffer, John F. Haimes, Robert Mechanical and Aerospace Engineering Aerospace Computational Methods Laboratory Syracuse University SyracuseNY13244 United States Department of Aeronautics & Astronautics Aerospace Computational Design Laboratory Massachusetts Institute of Technology CambridgeMA02139 United States

ISBN: (数字)9781624103933

ISBN: (纸本)9781624103933

Efficient multi-disciplinary analysis and optimization (MDAO) of aerospace vehicles is enabled by the generation of parametric, feature-based models. Many systems for generating these vehicles have been developed over the past decades, but most of these systems focus on the development of models that are well suited to the manufacturing process. Recently, the engineering Sketch Pad (ESP) was introduced whose expressed purpose is the generation of models for aerospace design and analysis. Three of the key features of ESP are its ability to develop multiple, linked models for use throughout the design process, to utilize user-defined features that are central to aerospace vehicles (such as airfoils, flaps, and spoilers), and to compute analytic sensitivities for optimization and uncertainty quantification. Contained herein is a description of ESP, including those components that directly support the above. In particular, the use of ESP to generate models within a single discipline that are used in the conceptual, preliminary, and final design stages is reviewed. Similarly, multiple linked models in cooperating disciplines are also discussed. These concepts are demonstrated on a sample transport configuration. © 2016, American Institute of Aeronautics and Astronautics Inc, AIAA. All Rights Reserved.

关键词： Vehicles

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Interaction of atmospheric turbulence with blade boundary layer dynamics on a 5MW wind turbine using blade-boundary-layer-resolved CFD with hybrid URANS-LES 34

Interaction of atmospheric turbulence with blade boundary la...

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34th Wind Energy Symposium, 2016

作者： Vijayakumar, Ganesh Brasseury, James G. Lavely, Adam Jayaraman, Balaji Craven, Brent. C. Pennsylvania State University University ParkPA United States Department of Mechanical Engineering United States Department of Aerospace Engineering United States Computational Methods Development Department Applied Research Laboratory United States

ISBN: (数字)9781624103957

ISBN: (纸本)9781624103957

Modern commercial megawatt-scale wind turbines occupy the lower 15-20% of the atmospheric boundary layer (ABL), the atmospheric surface layer (ASL). The current trend of increasing wind turbine diameter and hub height increases the interaction of the wind turbines with the upper ASL which contains spatio-temporal velocity variations over a wide range of length and time scales. This work centers on the development of a computational framework to simulate the interaction between the atmospheric and wind turbine blade turbulence dynamical systems using a two step one-way coupled approach. Pseudospectral large eddy simulation (LES) is used to generate a true (equilibrium) atmospheric boundary layer over a flat land with specified surface roughness and heating consistent with the stability state of the daytime lower troposphere. Using the data from the precursor simulation as inflow conditions, a second simulation is performed on a smaller domain around the wind turbine using finite volume CFD with a body-fitted grid to compute the unsteady blade loads in response to atmospheric turbulence. The ability of our computational framework to capture blade boundary layer dynamics in response to atmospheric turbulence is intimately associated with the design of our grid and with the development of a new hybrid URANS-LES turbulence model. The new turbulence model blends a 1-equation LES subgrid model in the far field with the κ-ω-SST-SAS URANS model to the blade boundary layer adjacent to the blade surface. With this computational framework, we simulated a single rotating blade of the NREL 5MW wind turbine in the moderately convective daytime atmosphere using blade-boundary-layer-resolved CFD simulations. The analysis of load fluctuations on a single rotating blade in a daytime atmosphere using blade-boundary-layer-resolved CFD has yielded two key results: (1) Whereas non-steady blade loadings are generally described as the response to non-steadiness in wind speed, our analysis s

关键词： Wind turbines

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A new family of hybrid six–step embedded explicit algorithms with eliminated phase–lag and its derivatives

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AIP Conference Proceedings 2019年第1期2186卷

作者： Ibraheem Alolyan T. E. Simos 1Department of Mathematics College of Sciences King Saud University P. O. Box 2455 Riyadh 11451 Saudi Arabia 2Data Recovery Key Laboratory of Sichuan Province Neijiang Normal University Dongtong Road 705 Neijiang 641100 China 3Group Leader Group of Modern Computational Methods Ural Federal University 62000219 Mira Street Ekaterinburg Russian Federation 4Section of Mathematics Department of Civil Engineering Democritus University of Thrace Xanthi Greece (Visiting Professor)

In this paper we propose a hybrid six-step method with algebraic order the highest possible. The area of application of this newly obtained algorithms is the numerical solution of second order initial and/or boundary-...

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

arXiv

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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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