Stratakis E.,Foundation for Research and Technology Hellas |
Kymakis E.,Technological Educational Institute of Crete
Materials Today | Year: 2013
Plasmonic metallic nanoparticles (NPs) have recently been identified as a breakthrough route for enhancing the efficiency of organic photovoltaic (OPV) devices. The present review highlights the different strategies of incorporating plasmonic NPs for light trapping into either the active or the buffer layer or at various interfaces within the OPV cell architecture. In addition, it summarizes the different enhancement mechanisms that have been proposed and indicates future trends in the development of NPs-based solution processable OPVs. The aim is to distinguish among the different plasmonic effects and to propose potential strategies for performance optimization. © 2013 Elsevier Ltd.
Agency: Cordis | Branch: H2020 | Program: RIA | Phase: ICT-04-2015 | Award Amount: 6.45M | Year: 2016
For all the superior features that low-power computing systems exhibit compared to conventional high-end server designs, there is a common design axiom that both technological trends are based on: the main-board and its hardware components form the baseline, monolithic building block that the rest of the hw/sw stack design builds upon. This proportionality of compute/memory/network/storage resources is fixed during design time and remains static throughout machine lifetime, with known ramifications in terms of low system resource utilization, costly upgrade cycles and degraded energy proportionality. dReDBox takes on the challenge of revolutionizing the low-power computing market by breaking once and for all server boundaries through materialization of the concept of disaggregation. Through a highly modular software-defined architecture for the next generation datacentre, dRedBox will specify/design/prototype modular blocks for SoC-based microservers, memory and accelerators, interconnected via a high-speed, low-latency opto-electronic system fabric, and that can be allocated in arbitrary sets, as driven by fit-for-purpose resource/power management software. These blocks will employ state-of-the-art low-power components and be amenable to be deployed in various integration form factors and target scenarios. dRedBox aims to deliver a full-fledged, vertically integrated datacentre-in-a-box prototype to showcase the superiority of disaggregation in terms of scalability, efficiency, reliability,performance and energy reduction. The prototype will be used as vehicle to demonstrate the value of dReDBox in 3 pilot use-cases stemming from three market segments: Security, Network Analytics and Telecom. With an industry-lead consortium comprising top academic experts too, dReDBox is in the best position to generate significant impact with its game-changing approach and contribute to Europe maintaining its leading innovation and market position in low-power advanced computing.
Agency: Cordis | Branch: H2020 | Program: RIA | Phase: PHC-30-2015 | Award Amount: 5.01M | Year: 2016
SMARTool aims at developing a platform based on cloud technology, for the management of patients with coronary artery disease (CAD) by standardizing and integrating heterogeneous health data, including those from key enabling technologies. The platform includes existing multiscale and multilevel ARTreat (FP7-224297) models of coronary plaque progression based on non-invasive coronary CT angiography (CCTA) and fractional flow reserve computation, refined by heterogeneous patient-specific non-imaging data (history, lifestyle, exposome, biohumoral data, genotyping) and cellular/molecular markers derivable from a microfluidic device for on-chip blood analysis. SMARTool models will be applied and validated by historical and newly acquired CCTA imaging plus non-imaging health data from the EVINCI project (FP7-222915) population. SMARTool cloud-based platform, through Human Computer Interaction techniques, 3D visual representation and artery models, will use heterogeneous data in a standardized format as input, providing as output a CDSS - assisted by a microfluidic device as a point of care testing of inflammatory markers for: i) Patient specific CAD stratification - existing models, based on clinical risk factors, will be implemented by patient genotyping and phenotyping to stratify patients with non-obstructive CAD, obstructive CAD and those without CAD, ii) site specific plaque progression prediction - existing multiscale and multilevel ARTreat tools of CAD progression prediction will be refined by genotyping and phenotyping parameters and tested by baseline and follow CCTA and integrated by non-imaging patient-specific data, iii) patient-specific CAD diagnosis and treatment - life style changes, standard or high intensity medical therapy and a virtual angioplasty tool to provide the optimal stent type(s) and site(s) for appropriate deployment.
Agency: Cordis | Branch: H2020 | Program: RIA | Phase: ICT-04-2015 | Award Amount: 6.28M | Year: 2016
VINEYARD will develop an integrated platform for energy-efficient data centres based on new servers with novel, coarse-grain and fine-grain, programmable hardware accelerators. It will, also, build a high-level programming framework for allowing end-users to seamlessly utilize these accelerators in heterogeneous computing systems by using typical data-centre programming frameworks (e.g. MapReduce, Storm, Spark, etc.). VINEYARD will develop two types of energy-efficient servers integrating two novel hardware accelerator types: coarse-grain programmable dataflow engines and fine-grain all-programmable FPGAs that accommodate multiple ARM cores. The former will be suitable for data centre applications that can be represented in dataflow graphs while the latter will be used for accelerating applications that need tight communication between the processor and the hardware accelerators. Both types of programmable accelerators will be customized based on application requirements, resulting in higher performance and significantly reduced energy budgets. VINEYARD will additionally develop a new programming framework and the required system software to hide the programming complexity of the resulting heterogeneous system based on the hardware accelerators. This programming framework will also allow the hardware accelerators to be swapped in and out of the heterogeneous infrastructure so as to offer efficient energy use. VINEYARD will foster the expansion of the soft-IP cores industry, currently limited in the embedded systems, to in data centre market. The VINEYARD consortium has strong industrial foundations, and covers the whole value chain in the data-centre ecosystem; from the data-centre vendors up to the data-centre application programmers. VINEYARD plans to demonstrate the advantages of its approach in three real use-cases a) a bioinformatics application for high-accuracy brain modelling, b) two critical financial applications and c) a big-data analysis application.
Soukoulis C.M.,Iowa State University |
Soukoulis C.M.,Foundation for Research and Technology Hellas |
Wegener M.,Karlsruhe Institute of Technology
Nature Photonics | Year: 2011
Photonic metamaterials are man-made structures composed of tailored micro- or nanostructured metallodielectric subwavelength building blocks. This deceptively simple yet powerful concept allows the realization of many new and unusual optical properties, such as magnetism at optical frequencies, negative refractive index, large positive refractive index, zero reflection through impedance matching, perfect absorption, giant circular dichroism and enhanced nonlinear optical properties. Possible applications of metamaterials include ultrahigh-resolution imaging systems, compact polarization optics and cloaking devices. This Review describes recent progress in the fabrication of three-dimensional metamaterial structures and discusses some of the remaining challenges. © 2011 Macmillan Publishers Limited. All rights reserved.