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Jožef Stefan International Postgraduate School
Country: Slovenia
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451 Projects, page 1 of 91
  • Funder: EC Project Code: 628726
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  • Funder: EC Project Code: 754549
    Overall Budget: 99,125 EURFunder Contribution: 99,125 EUR

    ClowdFlows is an open source cloud based platform developed within the MUSE FET project that supports the composition and execution of data and text processing workflows on the Web. It has a user-friendly graphical interface running in any browser, and supports big data analytics and text mining to discover patterns and regularities leading to new insights. As such, it fulfils the needs of many companies facing the problem of collecting huge amounts of data but lacking intuitive user-friendly tools to improve competitive market advantage. Data and text processing in ClowdFlows is easily managed in the browser by connecting processing components into an executable workflow executed in the cloud. Once constructed, workflows can be reused to process vast amounts of static data or high volumes of data streams. The web based platform is provided as a hosted service, with the ability for users to install it on a private cloud. In the proposed business model, ClowdFlows serves as a workflow publishing platform: a marketplace of ready-made workflows and data/text processing components, offering components for reuse to companies lacking the expertise and tools to perform needed big data analytics. From the end user’s perspective, the lack of internal developmental resources is compensated by crowdsourcing of needed new analytical components within the marketplace. From the developer’s perspective, the ClowdFlows marketplace allows the developers of processing components to publish and monetize their work, and to connect to companies in need of easy to use cloud based data mining tools. The CF-Web project will develop a value proposition focused on ease of use for end-users including SMEs, and serve as a marketplace of workflow components and provide revenue sharing for developers, while creating a growing, stable, new business venture based in Slovenia.

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  • Funder: NSF Project Code: 8509376
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  • Funder: EC Project Code: 101090285
    Funder Contribution: 171,399 EUR

    Chirality is one of the most intriguing fundamental phenomena in nature. Materials composed of chiral molecules find broad applications in areas ranging from nonlinear optics and spintronics to biology and pharmaceuticals. However, chirality is usually an invariable inherent property of a given material that cannot be easily changed at will. Very recently we discovered that chiral structure emerges as a basic configuration of polarization field in ferroelectric nanoparticles and nanodots in a form of stable fundamental topological excitations of polarization, Hopfions, and skyrmions, and, importantly, can be controlled and switched by cleverly devised field-temperature protocols. The key idea of the project is to reveal how this discovered emerging topological chirality will be identified, measured, explored, and put in practice, using the unique facilities and excellence of Jozef Stefan Institute in Slovenia. Accordingly, the research objectives of the FerroChiral MSCA are defined as follows: - To optimize fabrication parameters enabling the engineering of ferroelectric nanostructures with desirable chiral properties. - To develop research approaches for revealing and exploring the topological structures of the ferroelectric nanostructures. - To devise efficient enantioselective procedures and elaborate effective methods for chirality revealing and operation. The new skills in nanomaterial fabrication and operation, and in building the academia-industry links will be developed for further career pursuit. Also, the project will cluster the FerroChiral action with the complimentary European networks in view of prospective developing long-lasting collaborations.

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  • Funder: NSF Project Code: 8721016
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