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  • 2020-2023  (1)
  • 2015-2019  (173)
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  • 1
    Online Resource
    Online Resource
    Cham :Springer International Publishing AG,
    Keywords: Computer simulation. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (232 pages)
    Edition: 1st ed.
    ISBN: 9783319427102
    Series Statement: Coastal Research Library ; v.18
    DDC: 551.4570113
    Language: English
    Note: Intro -- Preface -- Contents -- Chapter 1: Introduction -- 1.1 Digital Earth -- 1.2 Digital Ocean -- 1.3 Digital Coast -- 1.4 Modeling with DOandDC -- 1.5 Virtual Visualization Application in DOandDC -- 1.5.1 Research of Global Climate Change -- 1.5.2 Management of Fisheries and Ocean Biology -- 1.5.3 Ocean Emergency Decision-Making -- 1.5.4 Ocean Scientific Research Field -- 1.6 Conclusions -- References -- Chapter 2: Ocean Big Data Acquiring and Integration Technologies -- 2.1 Introduction -- 2.2 Acquiring Ocean Big Data -- 2.3 Characteristics of Ocean Big Data -- 2.3.1 Acquired from Multiple Sources -- 2.3.2 The Variety of the Data Content -- 2.3.3 The Heterogeneity Storage Format -- 2.3.4 The Large Data Volume -- 2.3.5 The Velocity of Data -- 2.3.6 Multiple Temporal and Spatial Scales -- 2.3.7 Multi-Level in Depth -- 2.3.8 Multiple Levels of Data Users -- 2.3.9 The High Potential Value -- 2.4 Primary Study on Ocean Big Data Integration Technology -- 2.5 Applications -- 2.6 Conclusions and Future Work -- References -- Chapter 3: Digital Ocean and Digital Coast Data Web Service Modeling -- 3.1 Introduction -- 3.2 Modeling of the Web Data Service -- 3.3 Validation of the Web Data Service -- 3.3.1 Matching Parameter Validation -- 3.3.2 Model Logic Validation -- 3.4 Implement Process of the Web Data Service -- 3.4.1 The Service Model Creation -- 3.4.2 The Configuration of Model Element Attribute -- 3.4.3 The Validation of Service Chain -- 3.4.4 The Construction of Model Description -- 3.4.5 The Model Management -- 3.4.6 The Model Monitoring -- Chapter 4: Coastal Flood Forecasting Modeling and Analysis -- 4.1 US-SCS Curve Number Method -- 4.2 Data Preprocessing -- 4.2.1 Thiessen Polygon to Associate Runoff and Precipitation Stations -- 4.2.2 Base Flow Separation -- 4.2.3 Antecedent Moisture Condition (AMC) -- 4.3 CN Value -- 4.4 Composite CN Value. , 4.5 Runoff Simulation Using SCS CN Model in the ORM Area -- 4.6 Water Level Prediction -- 4.6.1 Stage Discharge Relation -- 4.6.2 Stage-Discharge Curves -- 4.7 Summary -- References -- Chapter 5: Coastal Flood Frequency Modeling -- 5.1 Flood Frequency and Return Period -- 5.2 Application of Log-Pearson III (LP3) Model for Flood Frequency Analysis -- 5.2.1 Introduction to LP3 -- 5.2.2 Frequency Analysis by Frequency Factors Method -- 5.2.3 Application of LP3 Model for Flood Frequency Analysis in the ORM Area -- 5.2.4 Apply LP3 Model for Flood Frequency Prediction in the ORM Area -- 5.3 Application of GEV Model for Flood Frequency Analysis and Prediction -- 5.3.1 Introduction to GEV Model -- 5.3.2 GEV Parameter Determination by Maximum Likelihood Method (MLM) -- 5.3.3 Evaluation of GEV Model for Flood Frequency Analysis in the ORM Area -- 5.3.4 Application of the GEV Model for Flood Frequency Prediction in the ORM Area -- 5.4 Concentration-Area Fractal Model for Flood Threshold Selection -- 5.4.1 Threshold Selection for Partial-Duration Series Flood Frequency Analysis -- 5.4.2 Introduction to Fractal Models -- 5.4.3 Concentration-Area Fractal Method -- 5.4.4 Application of Concentration-Area Fractal Method for Flood Threshold Selection -- 5.4.5 Discussion -- 5.5 Application of Power Law (PL) model for partial-duration series flood frequency analysis -- 5.5.1 Introduction to Power Law Model for Flood Frequency Analysis -- 5.5.2 Application of Power Law Model for Flood Frequency Analysis in the ORM Area -- 5.5.3 Application of the Power Law Model for Flood Frequency Prediction in the ORM Area -- 5.6 Apply Generalized Pareto (GP) Distribution for Partial-Duration Series Flood Frequency Analysis -- 5.6.1 Introduction to GP Distribution for Flood Frequency Analysis -- 5.6.2 GP Distribution Parameter Determination by Maximum Likelihood Estimation (MLE). , 5.6.3 Evaluation of GP Distribution for Flood Frequency Analysis in the ORM Area -- 5.6.4 Application of the GP Model for Flood Frequency Prediction in the ORM Area -- 5.7 Comparison of Flood Frequency Analysis Using LP3, GEV, PL and GP Methods -- References -- Chapter 6: Spatial Decision Making and Analysis for Flood Forecasting -- 6.1 Introduction -- 6.2 Problems of Real-Time Flood Forecasting -- 6.3 System Overview -- 6.4 Architecture of WSDSS -- 6.5 Components of WSDSS -- 6.6 System Functionality -- 6.6.1 Decision Support Services for River Rainfall-Runoff Prediction -- 6.6.2 Decision Support Services for Flood Frequency Prediction -- 6.7 System Development Approach: An Integrated Approach -- 6.8 Summary -- References -- Chapter 7: Ocean and Coast Disaster Data Modeling -- 7.1 Multidimensional Data Organization of Ocean Disasters -- 7.1.1 Thematic Structure of an Ocean Disaster Spatio-temporal Data Warehouse -- 7.1.2 Modeling the Dimensions of the Ocean Disaster in Spatio-temporal Data Warehouse -- 7.1.2.1 Time Dimension -- 7.1.2.2 Space Dimension -- 7.1.2.3 Dimensions of the Source Project, Contact Information, and Investigation Information -- 7.1.2.4 Category, Data Format, and the Spatial Reference Dimensions -- 7.1.2.5 Warehouse Model of the Ocean Disaster Multi-dimensional Spatio-temporal Data -- 7.1.2.6 The Measurement of the Fact Table -- 7.1.2.7 Multidimensional Basic Analysis Theme Data Model -- 7.1.2.8 Modeling for Comprehensive Analysis -- 7.2 Three-dimensional Ocean Disaster Monitoring Data Management -- 7.2.1 Software Structure Design -- 7.2.2 Software Development -- 7.3 Multi-dimensional Expression of the Process of Ocean Disaster Factors -- 7.3.1 Software Structure Design -- 7.3.2 Software Development -- 7.3.2.1 Single-Point and Single-Layer Element Changes Over Time. , 7.3.2.2 Single-Point and Single-Layer Element Changes Over Sea Depth -- 7.3.2.3 Single Element Field Dynamic Changing Over Time -- 7.3.2.4 Dynamic Changes in the Multilayer Elements Field Over Time -- 7.4 The Prototype System of Analysis of the Storm Surge Disaster Process -- 7.4.1 Data Structure -- 7.4.2 Software Structure Design -- 7.4.2.1 The Design of the Data Layer -- 7.4.2.2 The Design of the Function Layer -- 7.4.2.3 The Design of the User Layer -- 7.4.3 Software Development -- 7.5 The Analysis of Sea Level Rising -- 7.5.1 The System Structure -- 7.5.2 System Implementation -- 7.5.2.1 Model Integration Based on Service -- 7.5.2.2 Data Extraction and Optimization Based on Scenarios -- References -- Chapter 8: Coastal Remote Sensing -- 8.1 Coastline Automatic Extraction with Remote Sensing Data -- 8.1.1 Introduction of Coastline Extraction Technology -- 8.1.2 New Methods for Coastline Extraction -- 8.1.2.1 NDWI Threshold Segmentation -- 8.1.2.2 Automatic Selection of Samples -- 8.1.2.3 SVM Classification Model -- 8.1.2.4 Post-processing -- 8.1.3 Experiment and Analysis -- 8.1.4 Summary -- 8.2 Intertidal Zone Identification by Remote Sensing Image -- 8.2.1 Introduction -- 8.2.2 Methodology -- 8.2.3 Intertidal Zone Mapping -- 8.2.4 Conclusions -- 8.3 Coastal Wetland Classification Using Remote Sensing -- 8.3.1 Introduction -- 8.3.2 Coastal Wetland Classification Schemes -- 8.3.3 ``Tu-Pu´´ Coupled Coastal Wetland Hierarchical Classification -- 8.3.4 Experiment and Validation -- 8.3.5 Regional Application: Analysis of Dynamic Changes in the Yellow River Estuary Wetland -- 8.3.5.1 Background of the Study Area -- 8.3.5.2 Yellow River Estuary Wetland Mapping -- 8.3.5.3 Change Analysis of Yellow River Estuary Wetlands -- 8.4 Coastal Invasive Species Detection with Remote Sensing: A Case Study of Spartina alterniflora in Xiangshan Bay, China. , 8.4.1 Introduction -- 8.4.2 Study Area -- 8.4.3 Methodology -- 8.4.4 Results and Analysis -- 8.4.5 Summary -- References -- Chapter 9: Applications and Practice of Digital Ocean and Digital Coast -- 9.1 Introduction -- 9.1.1 Ocean Ecological Environment Monitoring -- 9.1.2 Management of Shoreline and Islands -- 9.1.3 The Application in El Nino and Sea-Level Rising Study -- 9.1.4 The Application in Fisheries -- 9.2 Public Service Application of Digital Ocean -- 9.3 China Digital Ocean Information Infrastructure -- 9.3.1 Architecture -- 9.3.2 Construction and Development -- 9.4 Digital Ocean Application Service System -- 9.4.1 System Architecture -- 9.4.2 Main Function Module -- 9.4.3 Basic Ocean Data Retrieval and Services -- 9.4.4 The Statistical Analysis Application -- 9.4.5 Comprehensive Information Query -- 9.4.6 Thematic Application -- 9.4.7 Information Sharing and Exchange -- References.
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  • 2
    Online Resource
    Online Resource
    Cham : Springer International Publishing
    Keywords: Earth sciences ; Oceanography ; Natural disasters ; Coasts ; Computer simulation ; Geographical information systems ; Earth Sciences ; Earth sciences ; Oceanography ; Natural disasters ; Coasts ; Computer simulation ; Geographical information systems
    Description / Table of Contents: This book presents essential new insights in research and applications concerning spatial information technologies and coastal disaster prevention modeling for oceanic and coastal regions. As a new research domain of Digital Earth, it covers the latest scientific and technical advances, from the acquisition and integration of observational data, ocean spatio-temporal analysis and coastal flood forecasting to frequency modeling and the development of technical platforms. The individual chapters will be of interest to specialists in oceanic and coastal monitoring and management who deal with aspects of data integration, sharing, visualization, and spatio-temporal analysis from a Digital Earth perspective
    Type of Medium: Online Resource
    Pages: Online-Ressource (VII, 227 p. 88 illus., 57 illus. in color, online resource)
    ISBN: 9783319427102
    Series Statement: Coastal Research Library 18
    Language: English
    Note: Description based upon print version of record
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  • 3
    Keywords: Geography ; Landscape/Regional and Urban Planning ; Geography ; Regional planning ; Political science ; Regional planning ; Political science ; Economic geography. ; Physical geography. ; Urban planning.
    Description / Table of Contents: As a legacy of the socialist state with central planning, Five-Year Planning (FYP) is very important in regulating socio-economic and spatial development even in post-reform China. This book tries to fill the research gap between examining the role of FYP and how spatial elements in the FYP mechanism have operated and transformed in spatial regulatory practices in transitional China. By building a conceptual framework and studying two empirical cases at different spatial scales, with the help of both qualitative and quantitative methods, it helps to understand various stakeholders, institutions and planning administrations, mechanisms of articulating spatial planning into the FYP system and the effectiveness of spatial planning in solving place-specific governance issues in urban and regional China
    Type of Medium: Online Resource
    Pages: Online-Ressource (XXIII, 166 p. 27 illus., 17 illus. in color, online resource)
    Edition: Springer eBook Collection. Earth and Environmental Science
    ISBN: 9789811318672
    Series Statement: Springer Geography
    Language: English
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  • 4
    Publication Date: 2022-06-07
    Description: The Author(s), 2022. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Rabe, B., Heuze, C., Regnery, J., Aksenov, Y., Allerholt, J., Athanase, M., Bai, Y., Basque, C., Bauch, D., Baumann, T. M., Chen, D., Cole, S. T., Craw, L., Davies, A., Damm, E., Dethloff, K., Divine, D., Doglioni, F., Ebert, F., Fang, Y-C., Fer, I., Fong, A. A., Gradinger, R., Granskog, M. A., Graupner, R., Haas, C., He, H., He, Y., Hoppmann, M., Janout, M., Kadko, D., Kanzow, T., Karam, S., Kawaguchi, Y., Koenig, Z., Kong, B., Krishfield, R. A., Krumpen, T., Kuhlmey, D., Kuznetsov, I., Lan, M., Laukert, G., Lei, R., Li, T., Torres-Valdés, S., Lin, L,. Lin, L., Liu, H., Liu, N., Loose, B., Ma, X., MacKay, R., Mallet, M., Mallett, R. D. C., Maslowski, W., Mertens, C., Mohrholz, V., Muilwijk, M., Nicolaus, M., O’Brien, J. K., Perovich, D., Ren, J., Rex, M., Ribeiro, N., Rinke, A., Schaffer, J., Schuffenhauer, I., Schulz, K., Shupe, M. D., Shaw, W., Sokolov, V., Sommerfeld, A., Spreen, G., Stanton, T., Stephens, M., Su, J., Sukhikh, N., Sundfjord, A., Thomisch, K., Tippenhauer, S., Toole, J. M., Vredenborg, M., Walter, M., Wang, H., Wang, L., Wang, Y., Wendisch, M., Zhao, J., Zhou, M., & Zhu, J. Overview of the MOSAiC expedition: physical oceanography. Elementa: Science of the Anthropocene, 10(1), (2022): 1, https://doi.org/10.1525/elementa.2021.00062.
    Description: Arctic Ocean properties and processes are highly relevant to the regional and global coupled climate system, yet still scarcely observed, especially in winter. Team OCEAN conducted a full year of physical oceanography observations as part of the Multidisciplinary drifting Observatory for the Study of the Arctic Climate (MOSAiC), a drift with the Arctic sea ice from October 2019 to September 2020. An international team designed and implemented the program to characterize the Arctic Ocean system in unprecedented detail, from the seafloor to the air-sea ice-ocean interface, from sub-mesoscales to pan-Arctic. The oceanographic measurements were coordinated with the other teams to explore the ocean physics and linkages to the climate and ecosystem. This paper introduces the major components of the physical oceanography program and complements the other team overviews of the MOSAiC observational program. Team OCEAN’s sampling strategy was designed around hydrographic ship-, ice- and autonomous platform-based measurements to improve the understanding of regional circulation and mixing processes. Measurements were carried out both routinely, with a regular schedule, and in response to storms or opening leads. Here we present along-drift time series of hydrographic properties, allowing insights into the seasonal and regional evolution of the water column from winter in the Laptev Sea to early summer in Fram Strait: freshening of the surface, deepening of the mixed layer, increase in temperature and salinity of the Atlantic Water. We also highlight the presence of Canada Basin deep water intrusions and a surface meltwater layer in leads. MOSAiC most likely was the most comprehensive program ever conducted over the ice-covered Arctic Ocean. While data analysis and interpretation are ongoing, the acquired datasets will support a wide range of physical oceanography and multi-disciplinary research. They will provide a significant foundation for assessing and advancing modeling capabilities in the Arctic Ocean.
    Description: The following projects and funding agencies contributed to this work: Why is the deep Arctic Ocean Warming is funded by the Swedish Research Council, project number 2018-03859, and berth fees for this project were covered by the Swedish Polar Research Secretariat; The Changing Arctic Ocean (CAO) program, jointly funded by the United Kingdom Research and Innovation (UKRI) Natural Environment Research Council (NERC) and the Bundesministerium für Bildung und Forschung (BMBF), in particular, the CAO projects Advective Pathways of nutrients and key Ecological substances in the ARctic (APEAR) grants NE/R012865/1, NE/R012865/2, and #03V01461, and the project Primary productivity driven by Escalating Arctic NUTrient fluxeS grant #03F0804A; The Research Council of Norway (AROMA, grant no 294396; HAVOC, grant no 280292; and CAATEX, grant no 280531); Collaborative Research: Thermodynamics and Dynamic Drivers of the Arctic Sea Ice Mass Budget at Multidisciplinary drifting Observatory for the Study of the Arctic Climate; National Science Foundation (NSF) projects 1723400, Stanton; OPP-1724551, Shupe; The Helmholtz society strategic investment Frontiers in Arctic Marine monitoring (FRAM); Deutsche Forschungsgemeinschaft (German Research Foundation) through the Transregional Collaborative Research Centre TRR 172 “ArctiC Amplification: Climate Relevant Atmospheric and SurfaCe Processes, and Feedback Mechanisms (AC)3” (grant 268020496); The Japan Society for the Promotion of Science (grant numbers JP18H03745, JP18KK0292, and JP17KK0083) and the COLE grant of U. Tokyo; National Key Research and Development Plan Sub-Project of Ministry of Science and Technology of China (2016YFA0601804), “Simulation, Prediction and Regional Climate Response of Global Warming Hiatus”, 2016/07-2021/06; National Science Foundation grant number OPP-1756100 which funded two of the Ice-Tethered Profilers and all the Ice-Tethered Profiler deployments; Chinese Polar Environmental Comprehensive Investigation and Assessment Programs, funded by the Chinese Arctic and Antarctic Administration; Marine Science and Technology Fund of Shandong Province for Qingdao National Laboratory for Marine Science and Technology (Grant: 2018SDKJ0104-1) and Chinese Natural Science Foundation (Grant: 41941012); UK NERC Long-term Science Multiple Centre National Capability Programme “North Atlantic Climate System Integrated Study (ACSIS)”, grant NE/N018044/1; The London NERC Doctoral Training Partnership grant (NE/L002485/1) which funded RDCM; NSF grant number OPP-1753423, which funded the 7Be tracer –measurements; and The Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung (AWI) through its projects: AWI_OCEAN, AWI_ROV, AWI_ICE, AWI_SNOW, AWI_ECO, AWI_ATMO, and AWI_BGC.
    Keywords: Physical oceanography ; MOSAiC ; Arctic ; Coupled ; Drift ; Sea ice
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 5
    Publication Date: 2022-05-26
    Description: Author Posting. © American Geophysical Union, 2017. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Journal of Geophysical Research: Biogeosciences 122 (2017): 3405–3418, doi:10.1002/2017JG004100.
    Description: The Kuroshio intrusion from the West Philippine Sea (WPS) and mesoscale eddies are important hydrological features in the northern South China Sea (SCS). In this study, absorption and fluorescence of dissolved organic matter (CDOM and FDOM) were determined to assess the impact of these hydrological features on DOM dynamics in the SCS. DOM in the upper 100 m of the northern SCS had higher absorption, fluorescence, and degree of humification than in the Kuroshio Current of the WPS. The results of an isopycnal mixing model showed that CDOM and humic-like FDOM inventories in the upper 100 m of the SCS were modulated by the Kuroshio intrusion. However, protein-like FDOM was influenced by in situ processes. This basic trend was modified by mesoscale eddies, three of which were encountered during the fieldwork (one warm eddy and two cold eddies). DOM optical properties inside the warm eddy resembled those of DOM in the WPS, indicating that warm eddies could derive from the Kuroshio Current through Luzon Strait. DOM at the center of cold eddies was enriched in humic-like fluorescence and had lower spectral slopes than in eddy-free waters, suggesting inputs of humic-rich DOM from upwelling and enhanced productivity inside the eddy. Excess CDOM and FDOM in northern SCS intermediate water led to export to the Pacific Ocean interior, potentially delivering refractory carbon to the deep ocean. This study demonstrated that DOM optical properties are promising tools to study active marginal sea-open ocean interactions.
    Description: National Natural Science Foundation of China Grant Numbers: U1305231, 41276064
    Description: 2018-06-29
    Keywords: Dissolved organic matter ; Absorption and fluorescence ; South China Sea ; Kuroshio intrusion ; Mesoscale eddy
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 6
    Publication Date: 2016-11-16
    Description: The breakup reactions of weakly-bound nuclei at energies around the Coulomb barrier and the corresponding coupling effect on the other reaction channels are hot topics nowadays. To overcome the difficulty in identifying both heavier and lighter fragments simultaneously, a new kind of ionization-chamber based detector telescope has been designed and manufactured. It consists of a PCB ionization chamber and three different thickness silicon detectors installed inside the chamber, which form a multilayer Δ E - E R telescope. The working conditions were surveyed by using an α source. An in-beam test experiment shows that the detector has good particle identification for heavy particles like 17 F and 16 O as well as light particles like protons and alpha particles. The measured quasi-elastic scattering angular distribution and the related discussions for 17 F+ 208 Pb are presented.
    Print ISSN: 1674-1137
    Topics: Physics
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  • 7
    Publication Date: 2015-03-10
    Description: The polaron effects are investigated in the presence of a magnetic field based on the carrier-surface optical phonon coupling induced by the polar substrates under the graphene. We find that the energy gap is opened in the zero-energy Landau level due to the polaron effect. The magnitude of energy gap is consistent with recent experimental measurements. Moreover, the gap can be tuned by choosing the polarization of substrates and controlling the distance between graphene and polar substrate. The results obtained provide a possible explanation for the origin of energy gap opening and highlight the bandgap engineering of graphene on polar substrates.
    Print ISSN: 0003-6951
    Electronic ISSN: 1077-3118
    Topics: Physics
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  • 8
    Publication Date: 2015-03-07
    Description: Besides water relations, nutrient allocation, and stoichiometric traits are fundamental feature of shrubs. Knowledge concerning the nutrient stoichiometry of xerophytes is essential to predicting the biogeochemical cycling in desert ecosystems as well as to understanding the homoeostasis and variability of nutrient traits in desert plants. Here, we focused on the temperate desert species Reaumuria soongorica and collected samples from plant organs and soil over 28 different locations that covered a wide distributional gradient of this species. Carbon (C), nitrogen (N), and phosphorus (P) concentrations and their stoichiometry were determined and subsequently compared with geographic, climatic, and edaphic factors. The mean leaf C, N, and P concentrations and C/N, C/P, and N/P ratios were 371.6 mg g −1 , 10.6 mg g −1 , 0.73 mg g −1 , and 59.7, 837.9, 15.7, respectively. Stem and root C concentrations were higher than leaf C, while leaf N was higher than stem and root N. Phosphorus concentration and N/P did not differ among plant organs. Significant differences were found between root C/N and leaf C/N as well as between root C/P and leaf C/P. Leaf nutrient traits respond to geographic and climatic factors, while nutrient concentrations of stems and roots are mostly affected by soil P and pH. We show that stoichiometric patterns in different plant organs had different responses to environmental variables. Studies of species-specific nutrient stoichiometry can help clarify plant–environment relationships and nutrient cycling patterns in desert ecosystems. Nutrient concentrations and stoichiometric traits among Reaumuria soongorica organs had different responses to latitude.
    Electronic ISSN: 2045-7758
    Topics: Biology
    Published by Wiley-Blackwell
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  • 9
    Publication Date: 2015-03-03
    Description: We propose an all-optical integrated nonreciprocal device on the optomechanical platform with a large nonreciprocal bandwidth and low operating power. The device is based on an asymmetric silicon coupler consisting of two branches. One of them is a conventional strip waveguide fixed on the substrate, and the other is a freestanding nanostring suspended above a groove in the substrate. When light is launched into the coupler, the optical gradient force between the freestanding nanostring and the underlying substrate leads to the deflection of the nanostring, and finally results in destruction of the initial phase-matching condition between the two branches. The suspended branch would achieve distinct deflections when light is incident from different ports. The simulation results show a nonreciprocal bandwidth of 13.1 nm with operating power of 390 μW. With the advantages of simple structure, low power consumption and large operating bandwidth, our work provides a promising solution for on-chip passive nonreciprocal device. Scientific Reports 5 doi: 10.1038/srep08657
    Electronic ISSN: 2045-2322
    Topics: Natural Sciences in General
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  • 10
    Publication Date: 2015-04-01
    Description: Langmuir DOI: 10.1021/acs.langmuir.5b00132
    Print ISSN: 0743-7463
    Electronic ISSN: 1520-5827
    Topics: Chemistry and Pharmacology
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