The University of Stuttgart is a university located in Stuttgart, Germany. It was founded in 1829 and is organized in 10 faculties.It is one of the top nine leading technical universities in Germany with highly ranked programs in civil, mechanical, industrial and electrical engineering.The University of Stuttgart is especially known for its excellent reputation in the fields of advanced automotive engineering, efficient industrial and automated manufacturing, process engineering, aerospace engineering and activity-based costing. The academic tradition of the University of Stuttgart goes back to its probably most famous graduate student: Gottlieb Daimler, the Inventor of the automobile.Along with the Technical University of Munich, the Technical University of Darmstadt and Karlsruhe Institute of Technology, it represents one of the four members of the South German Axis of Advanced Engineering and Management. These four universities, in combination with RWTH Aachen are the top five universities of the aforementioned TU9. Wikipedia.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: BIOTEC-6-2015 | Award Amount: 7.96M | Year: 2016
Biological sequence diversity in nowhere as apparent as in the vast sequence space of viral genomes. The Virus-X project will specifically explore the outer realms of this diversity by targeting the virosphere of selected microbial ecosystems and investigate the encoded functional variety of viral gene products. The project is driven by the expected large innovation value and unique properties of viral proteins, previously demonstrated by the many virally-derived DNA and RNA processing enzymes used in biotechnology. Concomitantly, the project will advance our understanding of important aspects of ecology in terms of viral diversity, ecosystem dynamics and virus-host interplay. Last but not least, due to the inherent challenges in gene annotation, functional assignments and other virus-specific technical obstacles of viral metagenomics, the Virus-X project specifically addresses these challenges using innovative measures in all parts of the discovery and analysis pipeline, from sampling difficult extreme biotopes, through sequencing and innovative bioinformatics to efficient production of enzymes for molecular biotechnology. Virus-X will advance the metagenomic tool-box significantly and our capabilities for future exploitation of viral biological diversity, the largest unexplored genetic reservoir on Earth.
Agency: European Commission | Branch: H2020 | Program: IA | Phase: DS-05-2015 | Award Amount: 8.70M | Year: 2016
The objective of LIGHTest is to create a global cross-domain trust infrastructure that renders it transparent and easy for verifiers to evaluate electronic transactions. By querying different trust authorities world-wide and combining trust aspects related to identity, business, reputation etc. it will become possible to conduct domain-specific trust decisions. This is achieved by reusing existing governance, organization, infrastructure, standards, software, community, and know-how of the existing Domain Name System, combined with new innovative building blocks. This approach allows an efficient global rollout of a solution that assists decision makers in their trust decisions. By integrating mobile identities into the scheme, LIGHTest also enables domain-specific assessments on Levels of Assurance for these identities.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: SC5-04-2015 | Award Amount: 6.82M | Year: 2016
ICARUS will develop innovative tools for urban impact assessment in support of air quality and climate change governance in the EU. This will lead to designing and implementing win-win strategies to improve the air quality and reduce the carbon footprint in European cities. An integrated approach will be used for air pollution monitoring and assessment combining ground-based measurements, atmospheric transport and chemical transformation modelling and air pollution indicators derived from satellite, airborne and personal remote sensing. The ICARUS methodology and toolkit will be applied in nine EU cities of variable size, socio-economic condition and history. Technological and non-technological measures and policy options will be analyzed and proposed to the responsible authorities for air pollution and/or climate change at the city level. Based on the advanced monitoring and assessment tools outlined above, a cloud-based solution will be developed to inform citizens of environment-conscious alternatives that may have a positive impact on air quality and carbon footprint and finally on their health and motivate them to adopt alternative behaviours. Agent-based modelling will be used to capture the interactions of population subgroups, industries and service providers in response to the policies considered in the project. Thus, social and cultural factors, socio-economic status (SES) and societal dynamics will be explicitly taken into account to assess overall policy impact. Our findings will be translated into a web-based guidebook for sustainable air pollution and climate change governance in all EU cities. ICARUS will develop a vision of a future green city: a visionary model that will seek to minimize environmental and health impacts. Transition pathways will be drawn that will demonstrate how current cities could be transformed towards cities with close to zero or negative carbon footprint and maximal wellbeing within the next 50 years.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: FETOPEN-01-2016-2017 | Award Amount: 5.73M | Year: 2017
We envision a radical redesign of Earth observation platforms for sustained operation at significantly lower altitudes than the current state of the art, using a combination of new aerodynamic materials, aerodynamic control and air-breathing electric propulsion for drag-compensation, for a variety of observation methods with the aim of creating a new platform paradigm. This vision requires foundational research in spacecraft aerodynamic characterization, in material aerodynamics and atomic oxygen resistance, in electric propulsion, and control methods. These activities are by their nature multidisciplinary covering atmospheric science, surface chemistry and material characterization, control engineering, spacecraft design, payload engineering, etc.
Agency: European Commission | Branch: H2020 | Program: IA | Phase: FOF-03-2016 | Award Amount: 7.57M | Year: 2016
Manufacturing companies are continuously facing the challenge of operating their manufacturing processes and systems in order to deliver the required production rates of high quality products of increasing complexity, with limited use and waste of resources. Zero Defect Manufacturing (ZDM) is a recent paradigm aiming at going beyond traditional six-sigma approaches in highly technology intensive and strategic European manufacturing sectors through new knowledge-based approaches. The ZDM paradigm is of key importance to manage production quality targets in advanced manufacturing industries. The implementation of this paradigm in industry requires innovative defect management and control methods, novel technologies for in-line inspection and integration of knowledge management and ICT tools for smart and sustainable decisions in complex industrial scenarios, which are not available in the market. The aim of the ForZDM project is to develop and demonstrate tools to support the rapid deployment of ZDM solutions in industry and design more competitive and robust multi-stage manufacturing systems. The proposed ZDM approach is based on the combined adoption of new knowledge-based data-gathering and root-cause analysis solutions to reduce the generation of defects as well as new on-line defect management and improved production traceability solutions to mitigate the propagation of defects along the production line stages. This will be achieved through the proper integration of innovative enabling technologies, such as cyber-physical systems, selective inspection, advanced analytics and integrated process and part-flow control solutions.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: DRS-11-2015 | Award Amount: 7.30M | Year: 2016
Starting from previous research experiences and tangible outcomes, STORM proposes a set of novel predictive models and improved non-invasive and non-destructive methods of survey and diagnosis, for effective prediction of environmental changes and for revealing threats and conditions that could damage cultural heritage sites. Moreover, STORM will determine how different vulnerable materials, structures and buildings are affected by different extreme weather events together with risks associated to climatic conditions or natural hazards, offering improved, effective adaptation and mitigation strategies, systems and technologies. An integrated system featuring novel sensors (intra fluorescent and wireless acoustic sensors), legacy systems, state of the art platforms (including LiDAR and UAVs), as well as crowdsourcing techniques will be implemented, offering applications and services over an open cloud infrastructure. An important result of STORM will be a cooperation platform for collaboratively collecting and enhancing knowledge, processes and methodologies on sustainable and effective safeguarding and management of European Cultural Heritage. The system will be capable of performing risk assessment on natural hazards taking into account environmental and anthropogenic risks, and of using Complex Events processing. Results will be tested in relevant case studies in five different countries: Italy, Greece, UK, Portugal and Turkey. The sites and consortium have been carefully selected so as to adequately represent the rich European Cultural Heritage, while associate partners that can assist with liaisons and links to other stakeholders and European sites are also included. The project will be carried out by a multidisciplinary team providing all competences needed to assure the implementation of a functional and effective solution to support all the actors involved in the management and preservation of Cultural Heritage sites.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: FETOPEN-01-2016-2017 | Award Amount: 3.27M | Year: 2017
This project will investigate the next generation of materials and devices for latent heat thermal energy storage (LHTES) at ultra-high temperatures of up to 2000C, which are well beyond todays maximum operation temperatures of ~1000C. We will synthetize new phase change materials (PCMs) with latent heat in the range of 2-4 MJ/kg (an order of magnitude greater than that of typical salt-based PCMs); we will develop advance thermal insulation and PCM casing designs, along with novel solid-state heat to power conversion technologies able to operate at temperatures up to 2000C. Using these new materials and devices, we aim at realizing the proof of concept of a new kind of extremely compact LHTES device with unprecedented high energy density. The key enabling technologies are: novel PCMs based on the silicon-boron system with ultra-high melting temperature and latent heat, novel refractory lining composites based on carbides, nitrides and oxides for the PCM container walls, advanced thermally insulated PCM casing for ultra-high temperature operation, and novel solid-state heat-to-power converters based on photovoltaic and thermionic effects. In this regard, we will perform the proof of concept of a new kind of hybrid thermionic-photovoltaic converter (TIPV) that has been recently formulated theoretically. TIPV cells combine the ionic and photovoltaic phenomena to convert high temperature heat directly into electricity at very high power rates. The final goal of this project is to demonstrate the proof-of-concept of this idea and kick-starting an emerging research community around this new technological option.
Seifert U.,University of Stuttgart
Reports on Progress in Physics | Year: 2012
Stochastic thermodynamics as reviewed here systematically provides a framework for extending the notions of classical thermodynamics such as work, heat and entropy production to the level of individual trajectories of well-defined non-equilibrium ensembles. It applies whenever a non-equilibrium process is still coupled to one (or several) heat bath(s) of constant temperature. Paradigmatic systems are single colloidal particles in time-dependent laser traps, polymers in external flow, enzymes and molecular motors in single molecule assays, small biochemical networks and thermoelectric devices involving single electron transport. For such systems, a first-law like energy balance can be identified along fluctuating trajectories. For a basic Markovian dynamics implemented either on the continuum level with Langevin equations or on a discrete set of states as a master equation, thermodynamic consistency imposes a local-detailed balance constraint on noise and rates, respectively. Various integral and detailed fluctuation theorems, which are derived here in a unifying approach from one master theorem, constrain the probability distributions for work, heat and entropy production depending on the nature of the system and the choice of non-equilibrium conditions. For non-equilibrium steady states, particularly strong results hold like a generalized fluctuation-dissipation theorem involving entropy production. Ramifications and applications of these concepts include optimal driving between specified states in finite time, the role of measurement-based feedback processes and the relation between dissipation and irreversibility. Efficiency and, in particular, efficiency at maximum power can be discussed systematically beyond the linear response regime for two classes of molecular machines, isothermal ones such as molecular motors, and heat engines such as thermoelectric devices, using a common framework based on a cycle decomposition of entropy production. © 2012 IOP Publishing Ltd.
Seifert U.,University of Stuttgart
Physical Review Letters | Year: 2011
We consider nanosized artificial or biological machines working in steady state enforced by imposing nonequilibrium concentrations of solutes or by applying external forces, torques, or electric fields. For unicyclic and strongly coupled multicyclic machines, efficiency at maximum power is not bounded by the linear response value 1/2. For strong driving, it can even approach the thermodynamic limit 1. Quite generally, such machines fall into three different classes characterized, respectively, as "strong and efficient," "strong and inefficient," and "balanced." For weakly coupled multicyclic machines, efficiency at maximum power has lost any universality even in the linear response regime. © 2011 The American Physical Society.
Jeltsch A.,University of Stuttgart
Trends in Biochemical Sciences | Year: 2013
After approximately 3 billion years of unicellular life on Earth, multicellular animals appeared some 600 million years ago, followed by the rapid emergence of most animal phyla during the Cambrian radiation. This evolutionary jump was paralleled by an increase in atmospheric oxygen, which I propose allowed the generation of epigenetic signaling systems that are essential for cellular differentiation in animals. Epigenetic signaling is based on the reversible deposition of chemically stable marks in DNA and histone proteins, with methylation of cytosine and lysine residues, respectively, playing a central role. Recent evidence indicates that the removal of such methyl groups critically depends on oxygenases. Hence, reversible epigenetic systems could only appear after accumulation of oxygen in the atmosphere. © 2013 Elsevier Ltd.