Dragon09/odtu_chatbot huggingface dataset:
engineered carrier transport in nanostructured semiconductors using functional disorder

disorder is generally considered to have a purely negative impact on carrier transport and most efforts aim to minimize it however recent studies suggest that disorder may enhance carrier transport via carrier funneling along energetic gradients or promote carrier interconversion at defect sites critically though before disorder can be exploited for improved optoelectronic performance of nanomaterials a better understanding of the relationship between disorder and transport is needed envision aims to build a bridge between fundamental observations of the benefits of disorder and materials engineering to enable this i have designed a twofold strategy focussed on 1 defining the detailed design rules for the rational design of disorder driven carrier transport and interconversion and 2 develop strategies to engineer the local energy landscapes of nanostructured semiconductors that boost carrier transport and interconversion to enable the definition of the detailed design rules i will take the crucial step of developing hyperspectral transient microscopy the first superresolution technique capable of simultaneously visualizing the transport of carriers in space time and energy using metalhalide perovskites as a versatile testbed envision will make critical advances beyond the current stateoftheart in promoting carrier transport along compositional gradients boost carrier interconversion at local dopants site and the creation of ondemand energy landscapes using nanoindentation through its unique approach envision will introduce the concept of functional disorder paving the way for new formalisms nanomaterial engineering and guiding the realization of fully optimized energy landscapes for optoelectronic and photonic technologies
affordable tandem cell architecture by multithinepitaxy approach

climate change is one of the greatest challenges of our time it is essential to drastically reduce greenhouse gas emissions we need more and better photovoltacis pv to drastically reduce the co2 emissions pv will need to be widely distributed to be able to replace the enormous and growing amounts of conventional electrical energy availability of surface areas allocated to pv preferably close to the end use of the electricity will become an issue reliability and a high energy yield per area will become important for the success of pv products europe presents higher complexity than other regions because of its limited space and highdensity population current silicon technology is basically limited by its single junction one semiconductor bandgap to efficiencies below 30 multijunctionstandems using more than one semiconductor diode aiming at different energies in the spectrum are the demonstrated path to overpass this limit and achieve efficiencies close to 40 as done for three junctions 3j on iiiv and with 35 achievable by using a si bottom junction 3j gainpgaassi two tandems technologies have emerged as promising to upgrade the current si technology perovskitessi and iiivsi iiivsi presents the highest efficiency and stability 2030years but two orders of magnitude higher cost the atacama project will develop the top junction for a iiivsi tandem algaassi with a drastic reduction in cost for the iiivs by 1 ultrathin absorbers using lowcost nanostructuring and 2 substrate multithinepitaxial enable by a novel epitaxial liftoff process furthermore the iiivsi tandem has to attain a high efficiency 303 that will ensure a costeffective solution nevertheless the tandem must ensure circularity recyclable path to split the si from the iiiv by gluing with transparent polymers with a melting point of 200c ensuring the possibility of easily recycling in the future the algaas cell from the si cell
developing the next generation of environmentallyfriendly floating wind farms with innovative technologies and sustainable solutions

floatfarm aims to significantly advance the maturity and competitiveness of floating offshore wind fow technology by increasing energy production achieving significant cost reductions within the design and implementation phases improving offshore wind value chain and supporting eu companies in this growing sector ultimately floatfarm aims to decrease negative environmental impacts on marine life and to enhance the public acceptability of fow thereby accelerating the eu energy transitionto this end a number of critical technologies have been identified as key catalysts they apply to different conceptual scales from individual floating offshore wind turbine level action 1 to farm level action 2 and environmental and socioeconomic perspectives action 3 innovations will be introduced into 1 rotor technology where innovative rotor designs for improved energy capture will be explored in a codesign approach with innovative control techniques improved floaters and a groundbreaking generator concept 2 mooring and anchoring where shared mooring and innovative dynamic cabling will be investigated 3 wind farm control where novel control strategies will be exploited to increase the farm power density and 4 environmental impact mitigation where marine noise emissions and impacts on marine species of fow farms will be addressed innovative artificial reefs will be pioneered and social acceptance will be studiedto ensure that effective solutions are pursued and trl5 can be achieved floatfarm adopts a holistic approach that combines innovative designs experimental demonstration at laboratory scale modelling with a suite of beyond stateoftheart numerical tools and demonstration in a unique opensea laboratory where a new 17 scale 15mw fowt will be tested in combination with novel floaters moorings and controls ensuring systematic assessment and validation that are thus far unprecedented in fowt research
deciphering the molecular mechanism of inflammation orchestrated by keratinocytes during staphylococcus aureus infection in the skin

the skin provides a physical and immunological barrier to external environment and its homeostasis depends on interactions between keratinocytes peripheral nerves immune cells and microbiota one of the bacteria that can colonise skin is staphylococcus aureus and it can be part of healthy skin or pathogen causing skin infection importantly in atopic dermatitis patients which suffer from impaired skin barrier and microbiota dysbiosis s aureus is associated with severity of flares and exacerbation of inflammation the inflammatory loop in the skin depends both on host and pathogen factors but it is not fullyelucidated how this interaction is regulatedthe proposed project will investigate novel mechanisms regulating the inflammation induced by s aureus skin infection the main focus will be on molecular mechanisms and regulation of pathogen sensing by keratinocytes first murine model of topical skin infection will be used to characterise how keratinocytes orchestrate immune response then it will be examined in detail which s aureus virulence factors induce inflammation in keratinocytes using different laboratory and clinical s aureus strains finally the role of characterised virulence factors and immunomodulators secreted by keratinocytes will be investigated in keratinocyteimmune cells interactions to achieve the goals of this project proteomics nextgeneration sequencing biochemistry molecular biology and immunological assays will be appliedoverall this project will contribute to greater understating of s aureushost immunity interactions with particular focus on regulation of keratinocyte inflammatory response moreover identified novel signalling molecules in the skin and virulence factors of the pathogen can be explored in novel skin inflammation and infection treatments
advanced tools for integration and synergistic interconnection of microbiomes in resilient food systems

tribiomes vision is to develop and implement a systemic solution to transform current food production systems to this end tribiome aims to advance alignment with the green deal and farm2fork strategies by deepening the knowledge of soilplantanimal and human microbiomes as well as their interrelationships and interconnections so that they can play a leading role in the resilience of food production systems in the near future tribiome will face the main challenges such as the need to minimize resources reduce the environmental impact and promote healthy and plantbased food chain while feeding a constantly growing world population under the paradigm of climate changethis project aims to drive this concept from its base establishing its central nucleus in current agricultural production systems based on the relevancy of the soil and plant microbiome in order to produce more with less through knowledge of microbial biodiversity and its interaction with the plant developing novel technologies to influence its modulation ie those enhancing plant growth nutrient use efficiency abiotic stress tolerance and better nutritional and health quality of food products in such a way as to generate an upgrade quality food and have a positive influence on the microbiomes of both animals and humansto this end we will work cooperatively in a multiactor approach framework with all actors in the food production systems chain from farmers to consumers industry investors and policy makers in order to develop systemic solutions that guarantee their implementation and solve the real problems and needs of society
nomad movements and digital impacts in cities

over the past decade the expansion of the socalled platform economy has accelerated the digital transformation of our daily lives at the same time a cohort of new workers linked to these platform economies characterized by high levels of geographical mobility are central actors in the transformation of consumption patterns urban lifestyles leisure activities and work culture in numerous cities across the globe nomadic is a training and policyoriented project involving an international crosssectoral and interdisciplinary network that aims to promote an adaptive inclusive sustainable and equitable urban future thereby reducing inequality and segregation in the selected cities and beyondobjectives to understand the dynamics and impact of digital nomadism in urban environments to build a network of stakeholders and experts to develop policy guidelines and best practices to design strategies that promote sustainable and inclusive urban environments provide excellent training and supervisionnomadic raisesa explore and characterize the lifestyle consumption and everyday life of hightech and gig workers and their connection to sociocultural urban changeb analyze how these new social practices are related to the platformisation of urban lifec formulate digitalrelated engagement and empowerment actions for community liveability and social inclusion seeking an adaptive inclusive sustainable and equitable urban future that aims to reduce inequality and segregationnomadic is an international intersectoral and interdisciplinary network from across europe and the americas that will join forces to develop a crosscutting study that explores and understands the multiple impacts of digitalization platformisation and the emergence of technological nomads on urban life
accelerated additive manufacturing digital discovery of a new process generation

additive manufacturing am by laser powder bed fusion lpbf has the potential to revolutionize future product development design and supply chains since the underlying multiscale physics are not well understood its potential can presently not be exploited suboptimal process conditions lead to severe defects on different scales rendering parts unsuitable for use critically known regimes of stable processing go along with very low built rates ie very high costs compared to other processes this limits lpbf to selected high value applications such as medical devices but prohibits applications in mass production where it otherwise could allow for entirely new technologies excelam aims at the digital discovery of novel highthroughput process regimes in lpbf to increase build rates by at least one order of magnitude computational modeling would be perfectly suited for this purpose since it allows to observe physics that are not accessible to measurement and to study novel process technologies that are not feasible with existing hardware unfortunately existing computational tools are by far not powerful enough given the complexity of lpbf therefore excelam will develop novel gamechanging methodologies grouped into two main classes first novel highfidelity multiphysics models will be developed capturing the complex multiscale nature of lpbf these are combined with cuttingedge high performance computing schemes allowing for predictions on unprecedented time spans and system sizes second novel databased learning approaches will be developed to enrich the physical models with process data while exploiting the manifold of existing data as effective as possible based on these cuttingedge tools excelam will push the limits of lpbf moreover by making them publicly available excelam will help scientists and practitioners in the field of production engineering and beyond to face the technological challenges of the 21st century
asymptotic speedups for free through automatic incremental computing

the energy consumption of data centers and ict devices grows at an alarming rate and will be responsible for up to 20 of the global energy consumption by 2030 to sustain the ongoing digital transformation we must find ways to run software dramatically more efficiently a promising direction is incremental computing incremental computations react to input changes rather than recomputing their result from scratch which is known to deliver asymptotic speedups in theory and orderofmagnitude speedups in practice however current approaches to incrementality have limited applicability they either require expert knowledge or only support specialized domains eg database queries or only yield modest speedups the goal of this project is to develop a methodology for automatically incrementalizing computations and significantly improving their time and energy efficiencythe autoinc project achieves this ambitious goal by establishing a novel foundation for incremental computing in three complementary parts first the project develops a library of incremental operators for atomic and other essential data types as part of a novel framework of differential theories which ensure the correctness and composability of the operators second the project designs a lowlevel intermediate representation ir for describing compositional incremental computations as computation networks and provides a novel differential recomputing semantics for the ir third the project develops an optimizing compiler that translates existing code to the lowlevel incremental ir and uses operators from differential theories where possible each part is useful in its own right but together autoinc enables developers to automatically incrementalize the reactive parts of existing programs besides improving the efficiency of programs this project will produce fundamental insights about the nature and limits of automatic incremental computing
gut microbiota drug biotransformation as a tool to unravel the mechanisms of metabolic microbiotahost interactions

the variability of the human gut microbiome entirety of microorganisms inhabiting the intestine far exceeds human genome variability and has been connected to various aspects of human health although microbiome differences are often linked to altered metabolism the current view on metabolic interactions between the microbiota and the host remain mostly descriptive due to several limiting factors first most sequencingbased human microbiome studies rely on correlative analyses between microbiome composition and human phenotypes depend on largely incomplete microbial genome annotations and are not targeted to identify communitymediated functional traits second many metabolites can be both of microbial and human origin which makes it conceptually and methodologically challenging to disentangle metabolic microbiotahost interactionsto overcome these limitations i propose a systematic bottomup strategy to mechanistically study metabolic microbiotahost interactions by harnessing gut microbiotas capacity to biotransform chemically modify drug molecules the large chemical diversity and exogenous origin makes medical drugs ideally suited for experimental in vitro and in vivo approaches to probe microbiotahost interactions in a controlled way we will combine highthroughput culturing protocols genetics metabolomics measurements genomics analyses gnotobiotic mouse work and computational modeling to connect interpersonal differences in microbiome composition to differences in metabolic functions of individuals gut microbiota and ultimately link them to molecular host phenotypes generating these mechanistic insights and transformational resources is essential to understand the fundamental principles of the microbiotahost relationship in addition this project has direct medical relevance as it provides actionable microbiomebased links to interpersonal differences in medical drug response which remain a widespread problem in clinical practice
the anarchist translation flows and world literature project argot

anarchist periodicals worldwide historically offered readers an uncommon and often outlawed experience of world literature yet their countless literary translations as well as the editors and translators involved in this circulation have been largely ignored by anarchist literary and translation studies data driven approaches along with the rise of digital archives make it possible for the first time to carry out a comprehensive largescale study of these translations by considering periodicals in multiple languages a wide geopolitical space several port cities in the americas and southern europe and a critical period for both literary and anarchist history 18901910 thus argot will unveil the significant contribution of anarchist periodicals to world literature by taking into account the people who enacted this transfer with a specific focus on women and their role in thriving translation flows argot pursues three main goals 1 to identify the literary translations that appeared in anarchist periodicals in montevideo buenos aires ro de janeiro havana new york lisbon or barcelona 2 to rediscover the cultural mediators involved in these translations particularly women and 3 to address the multilingualism of anarchist communities through a spatial approach these goals will be achieved using an innovative interdisciplinary methodology that combines data mining and computational science anarchist literary and translation history and womens and gender studies by making freely available two openaccess reusable databases on translated texts translators and publishers argot will shift our understanding of anarchist periodicals in the circulation of world literature and shed light on exciting new connections from a personal perspective the mscaif will greatly contribute to my career as a strong and highly skilled researcher in translation literary anarchist studies and digital humanities
blueremediomics harnessing the marine microbiome for novel sustainable biogenics and ecosystem services

marine microbial communities perform critical life sustaining functions on earth and represent a vast unexploited treasure trove of bioresources that have the potential to strengthen the european blue economy to unlock this hidden potential as well as responsibly conduct biodiscovery from marine microbes requires multiple developments we need to amalgamate and apply advanced technologies to elucidate the composition interactions and functional repertoire of the marine microbiome while concomitantly ensuring sustainable and equitable exploitation maintaining ocean health and improving ocean literacy through an improved appreciation of ocean microbesto address these needs blueremediomics will 1 develop and provide an integrated bioinformatics platform to explore the marine microbiome potential 2 establish innovative culturomics and highthroughput screening platforms to experimentally exploit consortia of marine microbes 3 apply the platforms to identify and develop natural products derived from marine microbes 4 foster aquaculture and ecosystem services that embody the do no significant harm principle 5 maximise equitable access to ocean microbiome resources and increase awareness of the marine microbiome to a diverse range of stakeholders 6 provide training tools and resources to a variety of stakeholders to achieve these objectives blueremediomics interlinks an advanced discovery platform with applications so designed to facilitate cyclical and iterative crosstalk by federating multiple currently fragmented key data resources the discovery platform will accelerate new product identification and development reduce resource dependence raise consumer benefits and address key societal issues new modalities in access and benefit sharing will be established that balance sustainable and equitable use of marine genetic resources with intellectual property protection
advancing the combustion of hydrogenammonia blends for improved emissions and stability

to mitigate the impact of greenhouse gas on the environment and climate the gas turbine power generation industry must rapidly reduce its emissions this requires abandoning the traditional combustion of carbonbased natural gas in favour of carbonfree fuels achieve aims at developing the fundamental knowledge to enable a transition to unconventional carbonfree fuel blends based around h2 and nh3 to achieve zero carbon emissions ultralow nox emissions and stable gas turbine operation achieve proposes a threepronged strategy consisting of a experimental and b numerical activities that will advance the technology readiness level trl up to 4 for practical low emissions combustors for realistic and representative blends of fuels as well as c system level engagement with oems end users and stakeholders experimental campaigns will explore combustor stability limits emissions and fundamental aspects of the combustion of hydrogen blends with the complexity of the experimental burners and operating conditions increasing over time and culminating in tests performed at intermediate pressures and powers relevant for gas turbine conditions numerical activities will address combustion modelling challenges including chemical kinetics fundamental physics governing flame dynamics ushering in new modelling techniques such as artificially thickened flames coupled with virtual chemistry subgrid les models for thermodiffusive instabilities and stability analysis aimed to understand and predict nox formation mechanism lean blow off flashback limits and thermoacoustic instabilities realtime monitoring and predictive capabilities for practical combustion systems will also be developed finally in the third prong engagement with industry oems and other target groups will leverage the results of achieve with the necessary stakeholders to progress the transition to a carbonfree fuels for power generation