
APEVA SE
APEVA SE
5 Projects, page 1 of 1
Open Access Mandate for Publications and Research data assignment_turned_in Project2017 - 2020Partners:Aristotle University of Thessaloniki, CRF, SURAGUS (Germany), LAYTEC AKTIENGESELLSCHAFT, OE TECHNOLOGIES PC +3 partnersAristotle University of Thessaloniki,CRF,SURAGUS (Germany),LAYTEC AKTIENGESELLSCHAFT,OE TECHNOLOGIES PC,AIXTRON SE,APEVA SE,IBS PEFunder: European Commission Project Code: 768707Overall Budget: 5,424,880 EURFunder Contribution: 4,262,640 EURSmartLine is an ambitious Project submitted to the H2020 Call FOF-08-2017 that will create intelligent and zero-defect manufacturing processes by developing robust and non-destructive in-line metrology tools (optical, electrical, structural) and process control platform to achieve the reliable and closed-loop manufacturing of Organic Electronic devices (OPVs and OLEDs for lighting) by unique R2R printing and OVPD pilot lines. The main objectives of the SmartLine proposal are the following: 1. Develop robust, non-destructive, and in-line optical (Spectroscopic Ellipsometry, Raman, Wavelength Scanning Interferometry, Reflectometry), and electrical metrology (Eddy Current measurement) tools and methodologies 2. Integrate in-line metrology tools in strategic parts of unique R2R printing and OVPD Pilot to Production Lines 3. Develop a Unique Platform for feedback from the in-line metrology tools to control the processes through non-destructive and traceable in-line measurements and algorithms, combined with contribution to standardization & reference materials 4. Optimize the R2R printing and OVPD manufacturing processes reliability in pilot lines, fabrication of homogeneous OPV and OLEDs and demonstration of their reliability and homogeneity to industrial applications (e.g. automotive). The above can be only addressed by a European approach and a transnational cooperation between excellent entities in characterization/modelling and industrial entities with unique pilot lines. This project will bring together academic, SME and industrial partners with world-class excellence and established track-record in metrology tools and manufacturing. This project will have a huge impact and will transform the manufacturing processes for Organic Electronics Industry and for other Industries as Thin Films (e.g. functional films, antimicrobial and decoration coatings, barriers), Electronics, Wearables, Energy, Automotive, Transport, Space, Health, etc, to the Factory of the Future.
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For further information contact us at helpdesk@openaire.euOpen Access Mandate for Publications assignment_turned_in Project2018 - 2021Partners:KTU, CSEM, EPFL, TEKNOLOGIAN TUTKIMUSKESKUS VTT OY, UV +6 partnersKTU,CSEM,EPFL,TEKNOLOGIAN TUTKIMUSKESKUS VTT OY,UV,IIT,SOLENNE BV,Oxford Photovoltaics (United Kingdom),APEVA SE,UOXF,FHNWFunder: European Commission Project Code: 763977Overall Budget: 4,996,040 EURFunder Contribution: 4,996,040 EURSolid state lead halide perovskites have recently emerged as the latest thin-film photovoltaic device class. High power conversion efficiencies (22 %) and stabilities (> 1000 hours at 80 ˚C under 1 sun illumination) have been obtained using lab scale processes and small area cells (<1cm2). The building blocks of the perovskite materials are very low cost and the processing into the final perovskite thin-film can be achieved with low temperature fast processes. This makes these materials very cost efficient, and promises to deliver a future PV technology with a levelled cost of electricity (LCOE) below that of existing mainstream PV. There has been much advancement with combining perovskite with silicon cells, to deliver a “tandem” junction cell with much higher efficiency than either sub-cell. Although this perovskite-on-silicon approach is likely to deliver the first perovskite PV products, it restricts the manufacturing and module format to wafer based, and hence misses out on the real promise of ultimate high volume manufacturing via large area sheet-to-sheet or reel-to-reel coating. Within PERTPV we will advance the perovskite thin-film PV technology to the next level by undertaking a “double pronged” drive on both performance (efficiency and stability) and the development of scalable device and module fabrication methodologies, compatible with high volume manufacturing. Our consortium consists of the leading academic groups in perovskite PV research, in addition to research companies, and 3 commercial partners at appropriately complementary stages in the value chain (Technology driver, materials supplier and equipment supplier). In addition to our ambitions target of surpassing 30% power conversion efficiency in a thin film all-perovskite tandem cell, and delivering a certifiably stable module technology, we will also perform full life cycle analysis and ensure a safe means to undertake mass deployment and recycling of the Perovskite PV modules.
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For further information contact us at helpdesk@openaire.euOpen Access Mandate for Publications and Research data assignment_turned_in Project2020 - 2023Partners:CMBAU, SEMILAB ZRT, Aristotle University of Thessaloniki, Granta Design (United Kingdom), CRF +7 partnersCMBAU,SEMILAB ZRT,Aristotle University of Thessaloniki,Granta Design (United Kingdom),CRF,BL NANOBIOMED,APEVA SE,AIXTRON SE,OE TECHNOLOGIES PC,ANSYS UK LIMITED,INFINITYPV APS,HELLENICORGANIC AND PRINTED ELECTRONICS ASSOCIATIONFunder: European Commission Project Code: 862442Overall Budget: 4,978,750 EURFunder Contribution: 4,978,750 EURRealNano is an ambitious 36-month project that will develop rapid real-time nano-characterization materials tools & methodologies based on Spectroscopic Ellipsometry, Raman Spectroscopy, Imaging Photoluminescence and Laser Beam Induced Current Mapping that will be integrated to in-line R2R (Roll-to-Roll) Printing and OVPD (Organic Vapor Phase Deposition) Pilot-to-Production Lines (PPLs) for characterization of Organic & Printed Electronics (OE) nano- materials, layers, devices and products during their manufacturing. It will bring Digital Intelligence to manufacturing by combining, fast and non-destructive characterization tools and methodologies (high speed resolution at nanoscale, capable for multiple integration, advanced data management and analysis), to provide robust information and quality control on the nanomaterial properties and products quality, reliable manufacturing, without affecting the process. Objectives: O1. Develop rapid and real-time nanoscale, multi- modal & scale characterization tools/methodologies for OEs O2. Integrate the non-destructive nano-characterization tools in in-line R2R printing and OVPD PPLs O3. Develop characterization Protocols and Data Management for interoperability across industries O4. Demonstrate the tools in industrial OE processes for improvement of quality and reliability of products O5. Validation of OE product quality and manufacturability on commercial applications O6. Effective Transfer of results to industry by Open Innovation (Dissemination, Training, Networking/Clustering) and Management RealNano will revolutionize industrial manufacturing by strongly improving the speed of the characterization procedures in terms of performance (non-destructive with nm-scale resolution in ms time) and reliability (measure/analyze OE nanolayers over large areas). The in-line implementation to PPLs will achieve significant reduction of process time and resources needed to manufacture high quality OE products.
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For further information contact us at helpdesk@openaire.euOpen Access Mandate for Publications and Research data assignment_turned_in Project2018 - 2021Partners:Aristotle University of Thessaloniki, Granta Design (United Kingdom), CRF, NPL MANAGEMENT LIMITED, University of Surrey +7 partnersAristotle University of Thessaloniki,Granta Design (United Kingdom),CRF,NPL MANAGEMENT LIMITED,University of Surrey,AIXTRON SE,APEVA SE,CNRS,University of Ioannina,FLUXIM,OE TECHNOLOGIES PC,HELLENICORGANIC AND PRINTED ELECTRONICS ASSOCIATIONFunder: European Commission Project Code: 760949Overall Budget: 3,993,750 EURFunder Contribution: 3,993,750 EURCORNET is an ambitious project that develop a unique EU Open Innovation Environment (OIE), that cover the triangle of manufacturing, modelling and experimentation for the optimization the Organic/Large Area Electronic (OE) nanomaterials, materials behavior and nano-devices (OPVs, PPVs, OLEDs) manufacturing of R2R printing & gas transport (OVPD) processes, to validate materials models based on experimentation and fabricate tailored OE devices and systems for demonstration to industrial applications (e.g. automotive, greenhouses). CORNET will develop a sustainable OIE Platform and OIE Database for documentation of citable & industrially accepted protocols for OE material and device characterization, modelling and manufacturing. CORNET strategy will establish strong links and clustering with existing EU clusters (as EMMC, EMCC, EPPN), end-user & industrial associations, and EU networks to increase the speed of OE materials/device development and industry uptake, maximize the acceptance of the OIE and push-through standards for adoption by industry worldwide. The CORNET main objectives are to: 1. Develop an effective OIE with world-class experts in Manufacturing, Multiscale Characterization & Modelling, connected to EU clusters, and create a reliable database with citable protocols with contribution to Standards 2. Multiscale Characterization & Modelling to Optimize OE nanomaterials and devices fabrication and Models Validation 3. Optimize the nano-device Manufacturing of OPVs, PPVs, OLEDs by Printing (R2R, S2S) and OVPD Processes 4. Fabricate Tailored Devices, Systems and Demonstrate to industrial applications (e.g. automotive, greenhouses) CORNET has developed a strategic plan for the clustering activities with more than 800 existing related bodies, a Business Plan for the continuation of the OIE beyond the project and the Innovation Management, IPR and legal support services to protect generated foreground and to enable its adoption by the EU research & industrial communities.
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For further information contact us at helpdesk@openaire.euOpen Access Mandate for Publications and Research data assignment_turned_in Project2021 - 2024Partners:TinniT, AIXTRON SE, ANSYS UK LIMITED, ESTECO, Aristotle University of Thessaloniki +8 partnersTinniT,AIXTRON SE,ANSYS UK LIMITED,ESTECO,Aristotle University of Thessaloniki,OE TECHNOLOGIES PC,Granta Design (United Kingdom),KIT,APEVA SE,FLUXIM,University of Surrey,University of Ioannina,CTUFunder: European Commission Project Code: 953187Overall Budget: 4,992,000 EURFunder Contribution: 4,992,000 EURMUSICODE is an ambitious project which addresses the H2020 Call DT-NMBP-11-2020 “Open Innovation Platform for Materials Modelling” that will develop a novel Open Innovation Materials Modelling Platform to enable the Organic and Large Area Electronics Industry (OLAE) to expediate accurate and knowledgeable business decisions on materials design and processing for optimization of the efficiency and quality of OLAE device manufacture. This platform will integrate: (a) Material, process and device modelling with workflows spanning the micro-, meso- and macro- scales, validated by expert academic and industry partners. (b) Integrated data management and modelling framework with ontology-based semantic interoperability between scales, solvers, data and workflows, with industry-accepted material and process modelling parameters and protocols, employing graphical user interface tools for workflow design, analysis, optimization and decision making. (c) Plug-ins to Materials Modelling Marketplaces, Open Translation Environment, Business Decision Support Systems, etc. and to High Performance Computing infrastructures for workflow execution. The platform will demonstrate industry user case workflows to optimize OLAE materials selection & design as well as printing and gas-phase manufacturing. The MUSICODE Business Plan will ensure the platform sustainability, exploitation and industrial adoption beyond the project, with the ambition to become the central Open Innovation Hub for the OLAE industry and evolve as the central paradigm for cross-domain applications.
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