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University of Stuttgart

University of Stuttgart

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484 Projects, page 1 of 97
  • Funder: EC Project Code: 101041809
    Overall Budget: 1,500,000 EURFunder Contribution: 1,500,000 EUR

    Solution-processed semiconductor thin-films have recently emerged as promising candidates for optoelectronic devices such as light-emitting diodes (LEDs), sensors and solar cells. One example is hybrid perovskite films that are processed inexpensively by crystallization from a solution and have the disruptive potential for efficient energy production and consumption. However, current crystallization methods from solution often result in uncontrolled film growth with ragged, degradation-prone grain boundaries. The lack of quality materials with large, controlled grains holds back solution-based semiconductors. The core hypothesis of LOCAL-HEAT is that controlling the fundamental crystallization kinetics of semiconductor films, when transitioning from the liquid precursor to the final solid-state, governs ultimate performance and long-term stability. This is key to creating materials that are: a) sustainable, b) stable and c) show highest performance. To achieve this challenging goal, I will control the crystallization kinetics of liquid multicomponent semiconductor inks by turning light into localized heat packages to cause confined supersaturation. This will induce seeds to crystallize the liquid precursor into high-quality films. Local heat will be realized by developing two methods: a) laser annealing by a tunable light pattern, projected on a liquid precursor film, and b) thermoplasmonic heating of plasmonic nanoparticles acting as antennas to turn incoming light into a localized heat nanobubble within a liquid ink. Achieving sustainable materials with highest quality crystallization will enable perovskite solar cells with performances >26% and stabilities of >30 years. Consequently, it will also revolutionize solution-processed semiconductors in general. LOCAL-HEAT will thus enable key technological applications in optoelectronics, e.g., solar cells, LEDs and scintillation detectors, and beyond.

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  • Funder: EC Project Code: 267991
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  • Funder: EC Project Code: 686530
    Overall Budget: 799,000 EURFunder Contribution: 799,000 EUR

    CA³TCH considers the full external aerodynamic behaviour of a compound rotorcraft to be developed. Aerodynamics -- and aeroacoustics as well -- have to be investigated by full-featured simulations including coupling to structural simulation and flight mechanics. This “Digital Wind Tunnel” approach examines the performance of the projected aircraft long before first hardware exists. This allows to differentiate various alternatives as well as to drive the design process according to the detailed analysis of the flow field. The primary goal of the project is to establish the simulation technology required to support productively the aerodynamic design and development of LifeRCraft, from rough estimates to detailed design and analysis at different flight states, until the point of first flight. Additionally, beyond the specific economic application to this compound configuration, the project will significantly improve the ability of helicopter simulations to answer particular questions in the development process, regarding aerodynamic or aeroacoustic optimisation, flight mechanics properties and even handling qualities to a certain extent. Publication and dissemination efforts will spread this enhanced capability to related areas, from fixed wings to wind turbines, just to name a few. CA³TCH starts with some necessary tool enhancements and continues with the application to increasingly complex, detailed and refined configuration models. Afterwards, not only large-scale simulations will be run, rather a very large part of the project´s added value consists of the rigorous analysis and interpretation of the results obtained.

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  • Funder: EC Project Code: 835997
    Overall Budget: 174,806 EURFunder Contribution: 174,806 EUR

    Remote sensing of the troposphere with Global Navigation Satellite Systems (GNSS) provides observations of spatial and temporal resolution higher than any other technique and operates under all weather conditions. The main product of GNSS meteorology, the zenith troposphere delay (ZTD), can be assimilated into numerical weather prediction (NWP) models in order to improve forecasting. The troposphere is also a major error source in GNSS positioning and a limiting factor for Interferometric Synthetic Aperture Radar (InSAR) observations. Both techniques are commonly used for hazard warning systems, which raise the demand for reliable real-time (RT) ZTD models. Accuracy and timely provision of ZTD estimates is limited by the quality and latency of satellite orbit and clock products. In 2013, the International GNSS Service started to provide RT products for GNSS, thus opening new possibilities for GNSS meteorology. Preliminary results revealed absolute accuracies of RT ZTDs of less than 30 mm, which is better than any other existing ZTD model available in RT. In order to further improve the quality of RT GNSS ZTD models we will make use of emerging GNSS, modify functional and stochastic models for data processing and provide sophisticated RT products i.e. troposphere gradients and slant delays. We will apply novel approaches in order to improve GNSS monitoring and correct InSAR observations, with the goal to better support RT earthquake and landslide warning systems. The aim of this project is to develop a high-quality RT GNSS model of the troposphere on two scales: dense regional (Germany, Poland) and sparse continental (Europe). The host at the University of Stuttgart, has vast experience in the development of next-generation positioning, navigation and timing solutions, and can provide the crucial infrastructure for this project. Secondments at the German Meteorological Service and the Federal Agency for Cartography and Geodesy will provide additional trainings.

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  • Funder: EC Project Code: 865855
    Overall Budget: 2,000,000 EURFunder Contribution: 2,000,000 EUR

    Phase diagrams have revolutionized materials development by providing the conditions for phase stabilities and transformations, and thereby a thorough thermodynamic understanding of materials design. However, the majority of today’s phase diagrams are based on scarce experimental input and often rely on daring extrapolations. Every multicomponent phase diagram relies on a fragile set of phase stabilities as very recent studies show. Materials 4.0 will change this. It will raise materials design to the next level by providing a highly accurate first principles thermodynamic database. First principles, alias ab initio, approaches do not require any experimental input and can operate where no experiment is able to reach. However, they have been limited to zero Kelvin or low temperature approximations which are not representative of phase diagrams. Materials 4.0 reaches far beyond this by utilizing my unique expertise in high-accuracy finite-temperature ab initio simulations. We will develop novel methods accelerated by machine learning potentials that facilitate a highly efficient determination of Gibbs free energies and migration barriers including all relevant finite-temperature excitation mechanisms. The methodology will be implemented in an easy-to-use open-source integrated development environment and made accessible to the community. Materials 4.0 will consider materials relevant to current scientific developments and of technological interest, such as hydrides, lightweight alloys, superalloys, MAX phases, and high entropy alloys. A large ab initio thermodynamic database will be computed for elements across the periodic table. The main focus will be on phase stabilities of various phases, including dynamically unstable ones, and importantly liquids as well; all fully from ab initio. The phase stabilities will be put into practice by re-parametrizing binary phase diagrams and studying the implications on multicomponent phase diagrams.

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