Dragon09/odtu_chatbot huggingface dataset:
novel circular resin development for composite structures in wind energy applications

the goal of ecores wind is to develop novel circular resin material systems tailored for composite structures in wind energy applications these materials are intended to enhance circularity and minimize the environmental footprint of entire wind energy systems throughout their life cycles the project seeks to tackle the ecological impact attributed to conventional resin systems used in wind turbine blades it aims to explore alternative choices that facilitate enhanced circularity prolonged lifespan and efficient decommissioningecores wind will evaluate the ecological advantages inherent in each resin system it develops by comparing them to stateofthe art materials in various categories the project aims to ascertain improvements in recyclability circularity and the potential of biobased products to achieve a more sustainable futurethe introduction of circular resins in coordination with the use of advanced disassembly strategies will make the decommissioning of wind blades and reutilisation of materials for other applications possible and cost effective
analytical platform for noninvasive diagnosis of liver disease

nonalcoholic fatty liver disease nafld is a disease of alarmingly increasing prevalence associated with metabolic and cardiovascular complications and morbid mortality the disease spectrum covers from a simple steatosis to nonalcoholic steatohepatitis nash with estimated 25 of population having nafld it makes it the most common liver disease in the world while diagnosing and stratifying nafld and nash is of high priority to identify subjects with increased risk for cardiovascular complications the gold standard of current diagnostics is an invasive liver biopsy recently discovered extracellular vesicles evs have shown high potential to become novel source of noninvasive biomarkers as they are loaded with the same molecular information as their parental cells proteins metabolites rnas molecular information of liverderived evs could be a great source of liver specific biomarkers that are obtainable in circulation and are suitable for noninvasive diagnostics however analysing biochemicalomics profiles of tissue specific evs in biofluids is an unsolved challenge and has not been realized in routine clinical diagnostics yet in this project alive we propose to develop a technology capable of isolating cell and organ specific evs from biological samples and perform their omics analysis and to apply this technology in the proofofconcept investigation of potential biomarkers of liver disease in blood alive is a great opportunity for the experience researcher dr andrea capuano to gain new technical and transferable skills exchange knowledge with the host an innovative european startup exit071 and secure a leadership position in innovative ecosystem of europe
photocurable solidstate batteries with selfhealing property and smartfunctionalities

solidstate batteries can surpass the current liion technology in terms of energy density battery safety specific power as well as fastcharging capability according to the recommendations on energy storage of the european commission the development of nextgeneration batteries is a high priority in this context this project proposes novel crossdisciplinary approaches empowered by digital technologies that can accelerate research on the next generations of safe and highperforming batteries the project presents three main goals a train the young researcher dr cristian mendesfelipe in the design development and optimisation of uvcurable materials with tailored made properties including selfhealing capabilities to develop solidstate electrolytes sses b assemble those sses in a battery and c understand the role of materials and interfaces hybrid materials interfaces and solid electrolyteelectrode interfaces in the ionic transport in order to unravel a possible kinetic mechanism in solidstate batteries the combination of photopolymerization technique of different materials containing ionic conductors with the insitu analysis of the ongoing battery state envisage not only improve the cuttingedge technology of solidstate energy storage obtain a fundamental understanding of the sses structures during his short research career the fellow has gained expertise in the fabrication of nanostructured and composite photocurable materials acquiring handson experience with both structural and electronic characterization techniques nonetheless to further boost his career the fellow needs to broaden his knowledge in the field of energystorage at bcmaterials to complement the already known characterization techniques with new ones and with computer simulations and modelling this project will also increase his supervision experience project and intellectual property management expertise and research funding and proposal writing skills
the chromite record of mafic crustal growth

understanding earths crustal growth is crucial to understanding the evolution of its tectonics the birth of the first continents and the fundamental changes that transformed earth into a habitable planet however much of our understanding of earths crustal growth is predicated on a single mineral zircon that is strongly biased towards detecting felsic crustal growth this is particularly problematic for the early earth where average crustal compositions were far more mafic than today and the very first protocrust may be entirely undetectable using conventional methods i propose to access the mafic to ultramafic crustal growth record using detrital chromite preserved in sedimentary rocks from archaean cratons like zircon chromite chemical compositions reflect the magmas that they crystallised from and can be used to identify the provenance of the mafic portions of a sedimentary rock furthermore they can be dated using reos isotopes to identify the age of eroded mafic terranes this project has three main objectives1 develop techniques to identify the age and composition of chromite sources in ancient sedimentary rocks2 use a range of detrital chromite samples from sedimentary sequences in the superior craton to reconstruct a maficultramafic crustal growth curve for the craton3 search for evidence of earths mafic protocrust in some of the oldest known chromitebearing sedimentary rocksthese achievements will open a new avenue for studying sedimentary provenance unlock the archive of mafic crustal growth throughout earth history and provide insights on the nature and survival of earths earliest crust the techniques developed will be broadly applicable paving the way for a better understanding of earths crustal evolution
identities migration democracy

the european unions promise of prosperity and security is based on the principle of unity in diversity and the guarantee of fundamental freedoms rights and democratic participation of its citizens the vast majority of eu citizens share these values at the same time democracies are in crisis populist parties are fuelling fears and spreading the narrative that migration leads to a loss of identity there is no doubt that migration always raises the question of identity and belonging how do we organize integration and participation in such a way that cohesion is created despite diverse identities the project identities migration democracy weid is therefore concerned with the transformation of individual and collective identities social and territorial cohesion and democracy under the conditions of demographic change particularly with regard to migration and growing population diversity weid follows an innovative research path by a analysing the impact of migration on identities belonging cohesion and democracy taking into account both the impact on host communities and the changes in the identities of migrants and their descendants and b elaborating the interrelationship between identities cohesion resilience and democracy in addition to quantitative data analysis we will use qualitative methods at the local level eg pilot study in a border region content analysis case studies to look for factors that strengthen resilient democratic communities by consistently pursuing a transdisciplinary approach within our policy advocacy and research lab weparl throughout the project we will create a platform for mutual learning between different stakeholders from the european to the local level while at the same time contributing to evidencebased and thoroughly discussed policy recommendations in addition based on our findings we will develop materials such as toolboxes that can be used by practitioners and local actors wescouts
design of nucleic acidtemplated ordered protein assemblies

here i propose to create a new class of designed nanomaterials that will combine the advantageous features of protein design and dna nanotechnology nucleic acidtemplated protein assemblies i propose three different approaches that all utilize the addressability of nucleic acids on the nanometer to micrometer length scale to control size shape and composition of designed protein assembliesin the first approach the structural and mechanical properties of the assembly will be defined by the protein components while the nucleic acid component serves merely to define the dimensions of the assembly and to introduce addressability to an otherwise symmetric repetitive assembly all components including the nucleic acid template can be genetically encoded potentially enabling assembly of entire nanoparticles inside living cellsthe second approach uses more complex nucleic acid templates such as dna or rna nanostructures to control size shape and addressability of two or threedimensional protein assemblies the shape of the final protein assembly reflects the shape of the templating nucleic acid nanostructure and the protein assembly can be viewed as a coating that adds rigidity stability and crucially biological functionality to the template nanostructure both approaches one and two are amenable to libraryscale screening by coupling size and shape of the particles as well as patterning of functional domains phenotype to the sequence of the nucleic acid template genotypein a third approach the nucleic acid is not incorporated into the final assembly but merely serves as a mold to define size and composition of a protein assembly a single dna origami mold could thus catalyze the assembly of many nanoparticles circumventing potential scalability bottlenecks from approach twothese assemblies use the synergy between dna nanotechnology and protein design to achieve properties that would not be accessible to either technology alone
development and testing of innovative solutions for the processing of hybrid materials and nanomaterials using artificial intelligence algorithms

promatai project aims to develop a product in the field of testing the extrusion method of nanomaterialsbionano composites using ai algorithms prototype will be developed and made of a special design for the feed opening section foe the adjustable groove section agfs the rotary barrel section rbs and the additional plasticizing system ps of the singlescrew extruder which will be tested in virtual and real conditions of their operation depending on the size of the introduced part it is assumed that these improvements will increase the efficiency of the extrusion process reducing the amount of waste and energy usage and enable usage of new materials the first prototype in the world of a smart extruder is planned which will adjust its geometric elements to the dimensions of the material project activities are aimed at significantly strengthening cooperation between industry and academia creating new and transferring existing knowledge between partners project consists of 7 wps wp14 are focused on the development of innovative extruder elements including foe agfs rbs and the entire plasticizing system wp5 focuses on networking activities conducted by delegations including workshops trainings and lectures on the topic of the project and the development of skills in the field of rd infrastructure competences digitization and internationalization wp6 is about the wide dissemination of knowledge and the exploitation of project results conferences fairs publications ipr website social media outreach to public activities wp7 is about management and administration of the whole project promatai is coordinated by ukasiewicz research network institute of engineering of polymer materials and dyes poland partners are lublin university of technology poland technical university of kosice slovakia university of west attica greece lph as slovakia uab dirmeta lithuania and cerca trova ltd bulgaria
heatpv high efficiency antimony selenide sb2se3 based photovoltaic devices

the unrestricted supply of energy is one of the main concerns of our society due to our continuously growing population and a modern lifestyle that has an insatiable need for energy an unlimited energy resource is required traditional energy generation methods particularly fossil fuel combustion have escalated environmental woes through the emission of harmful greenhouse gases perpetuating pollution and global warming transitioning to renewable energy based economy is one of the solutions one such alternative can come from the sun the energy we receive from the sun is huge the energy delivered to earth by the sun in 1 hour is more than the total world energy consumption in 1 year to tap this resource photovoltaic pv device cells can be used to convert solar radiation directly into electricity this research proposal aims to advance antimony selenide sb2se3 pv technology as an abundant and nontoxic material sb2se3 holds promise as an emerging pv absorber the initial phase involves synthesizing sb2se3 thin films using hybrid reactive magnetron sputtering focusing on achieving preferentially hk1oriented films by optimizing growth parameters further a cadmiumfree contact layer around sb2se3 will be developed for efficient charge carrier transport a significant aspect pertains to comprehending elemental diffusions role across the sb2se3 absorbercontact layer interface and how it influences pv device efficiency the ultimate objective is to establish a highefficiency 15 sb2se3 thinfilm solar cell thus advancing sustainable clean energy and contributing to climate change mitigation
neuromorphic polariton accelerator

excitonpolaritons hybrid lightmatter particles have recently come into the spotlight for their peculiar properties sizable interaction small mass long coherence etc leading to spectacular effects such as phase transitions superfluidity bistability ultraefficient fourwavemixing and quantum blockade on the other hand polaritons have also been proposed for different kinds of devices including optical switches transistors low threshold lasers and simulators with beautiful experiments showing proofsofprinciple however it is only recently that polaritons have been operating efficiently at room temperature giving the promise of a real technological impact in the future in a recent work made by some of the theoretical and experimental partners of this proposal we could demonstrate that such hybrid state of matter when used for realising artificial neural networks shows extremely interesting performances in terms of speed and success rategiven the strong interest in the realisation of hardwarebased not simulated artificial neural networks the goal of polart is to demonstrate a new way to build artificial intelligencededicated circuits using polariton neural networks as optical acceleratorsthanks to this new concept device complex applications related to neurallike processing will be efficiently implemented therefore enabling neuromorphic computation to be done in small devices that cannot rely on remote large bandwidth connection this proposal benefits from the contribution of several complementary partners coming from many different research areas material science physics optics chemistry genetics and industrial participants that assure the interdisciplinarity and technological oriented target
pushing gold beyond its common redox states

the chemical elements are central to chemistry physics and biology exploring their different states and chemical bonding is thus of utmost importance yet 150 years after mendeleev recognized periodicity in the structure and properties of the elements there is still much to discover and exploit indeed some elements are still confined to a few oxidation states this is especially true for gold which despite major progress over the last decades lags well behind the other transition metals at the molecular level only aui and auiii complexes are known essentiallythe aim of goldredox is to expand the chemical space of gold to other oxidation states that remain curiosities or are simply unknown the bottleneck to overcome is to force gold outside its comfort zone to this end i will play with ligand design i will identify ligands that enable gold to accommodate new oxidation states gold complexes in unprecedented forms from au0 to auiv and auv will be designed prepared and studied because of their peculiar electronic structures these new oxidation states will open novel reactivity paths at gold most appealing are singleelectron processes and auiiiauv cyclestargeting new oxidation states and reactivities goldredox is inherently very exploratory and cuttingedge to address this high riskhigh gain challenge i will capitalize on my expertise in highly reactive species and gold chemistry ligand design i previously used to create unusual bonding situations such as with acceptor ligands and to emulate unprecedented reactivity of auiauiii complexes will be central as well as thorough structureproperties analyses by advanced experimental and computational methods goldredox will provide indepth fundamental knowledge on novel gold species and will open new avenues in catalysis and photocatalysis
ethical design of holography with dense wireless networks

ubiquitous perception by sensing of objects subjects and gestures is a pivotal challenge for future technology it enables personalized services such as smart living automated logistics or interaction through freespace gestures however it also challenges ethical and moral boundaries and threatens privacy holden proposes a radically new approach to perception by concisely analysing ethical constraints and privacy risks while rethinking rfbased sensing we establish necessary conditions for privacy preserving and ethically compliant sensing and develop new paradigms respecting these constraintsfor the first time ever holden constitutes a concentrated effort to explore social aspects of rfsensing to guide the technological advance and to derive technology for ethically and privacy compliant perception central to holden is the development of ethical and privacy constraints we use these findings to derive privacy and ethically compliant concepts for rfbased perception we will develop a system of distributed multiantenna devices for simultaneous multitarget recognition and ubiquitous perception with unprecedented accuracy which constitutes a radical paradigm shift from a technologycentric perspective to a privacycentric one via privacy by design holden achieves this goal along three high risk complementary and privacycentric pathspath 1 continuousspace measurement points radiobased 3d vision by holographic image processing of rf wavefrontspath 2 discretespace measurement points advanced 3d beamforming for humanscale recognition and tracking through dense massive connected antenna arrays path 3 signal processing and learning highdimensional tensor processing for the distinction of complex activities and motion from massivedimensional rf data the resulting breakthrough approaches and algorithms will be compared against applicationlevel benchmarks via usage scenarios in the fields of logistics smart living and freespace
decadal to multidecadal global predictions of compound events

compound events ces can pose significant threats to societies economies and ecosystems around the world especially when amplified by anthropogenic climate change acc there is therefore a strong need for skillful reliable and actionable predictions of how ces are expected to change in the next decades to support governments and stakeholders in implementing robust adaptation strategies in this project we will develop a method to improve nearterm projections of ces at the global scale taking into account their response to both climate variability and longterm warming and develop a sound physical mechanism understanding of their meteorological drivers first we will constrain climate projections with decadal climate predictions from the coupled model intercomparison project phase 6 with a novel method to reduce the uncertainty and increase accuracy of acc predictions up to 30 years then we will apply an innovative method grounded in dynamical systems theory for quantifying ces and link them to physical extremes in the global regions where the prediction of events shows high skill we will specifically focus on temperaturelow precipitation as related to summer heatwaves and precipitationwind as a proxy for storms the analysis will elucidate what drives ces in the context of global warming and climate variability to what extent they can be predicted on decadal to multidecadal time scales and how their frequency intensity and persistence is expected to change in the future we will furthermore explore the atmospheric drivers of the ces to elucidate specific physical mechanisms at the origin of the events the outcomes of the project will be significant for the scientific community since they will improve the understanding of how ces respond to acc and climate variability and relevant for governments and stakeholders aiming to reduce losses from highimpact weather events benefiting societies and economies around the world
research exchanges in the mathematics of deep learning with applications

the subject of this proposal is mathematical aspects of deep learning algorithms and their applications we will address several questions related to the mathematical foundations of neural networks and set up an interdisciplinary team to aidthe design of test problems and validate the research results obtained the impact of neural networks and deep learning in recent years has been profound and unprecedented but in the wake of the vast progress in this area several questions and concerns have been raised about the robustness reliability accuracy reproducibility and feasibility of neural networks it is widely recognised that the mathematical sciences are a key enabling technology in many aspects of machine learning not the least to resolve some of the above mentioned concerns mathematical language and formalism can bring morerigour and precision to the understanding of the deep learning methodology recently deep learning methods have been applied to physical simulations and to discover the underlying mathematical model most of the work in this area has been limited to proofofconcept and has not been applied to practical problems an alternative approach is to make use of reduced order modelling and this can also be combined with machine learning methods the aim of this project is to understand study prove and test the properties of deep learning algorithms using ideas from dynamical systems geometry and optimisation the research objectives are threefold the first pertains to understandingthe general properties of neural networks and their impact on a range of applications the second is about the use of neural networks for investigating dynamical systems and their applications to physical models finally we establish a new and complementary network of mathematicians from european and third countries for studying neural networks and the methods of deep learning with connections to a range of application areas through staff exchanges