Dragon09/odtu_chatbot huggingface dataset:
correlationdriven metallic topology

developments in the past decade have shaped the term topological quantum matterin the solid state much progress has been made on non and weaklyinteractingsystems and correlated insulators but gapless topological phases governed bystrong correlations are a completely open challenge they are of great interestbecause a wealth of new quantum phases with new properties and functionalitiesare expectedthe pi and her collaborators have recently discovered one such phase theweylkondo semimetal and brought to light its extreme topological responses aswell as the feasibility of genuine topology control by external parameters thissets the stage for the present projectin cormetop new correlationdriven gapless topological phases shall bediscovered and design principles for such phases established new signatures ofthese phases shall be revealed and their potential for quantum devices assessedto achieve these objectives the versatile platform of heavy fermion compoundswill be used four different design principles symmetry emergence engineeredplatforms and parameter tuning will be followed and a combination ofrecently established and entirely new experimental probes will be used thebasis for these studies will be highquality bulk single crystals and thin filmsgrown by molecular beam epitaxyamong the questions to be addressed are to which extent does symmetry dictatethe fate of topological states in the limit of strong correlations what is theconnection between quantum criticality or other emergent phenomena longrangeentanglement and topology can entirely new platforms based on heavy fermionsystems stabilize robust and even braidable majorana bound states whichtheoretical parameters control topology and how can one vary themexperimentally which functionalities bear potential for quantum applicationswe expect the project to establish an emerging field and provide guidance to alarger community to boost progress
an intelligent perovskite solution printing line

hybrid perovskite photovoltaics pv are considered one of the most promising emerging pv technologies that have the potential to becoming a vital part of futures renewable energy production needed for combating climate change however the community still struggles with the scaling and reproducibility when printing perovskite thinfilm absorber layers from solution due to the complex perovskite formation process that is susceptible to a variety of environment and process parametersthis project proposes a novel interface between perovskite solution printing and algorithmic optimization and control theory by equipping a rolltoroll perovskite printing line with in situ characterization computational data processing and automatically adjustable process parameters the characterization is given by pointprobe reflectionabsorption as well as luminescence imaging measurements feedback for control is calculated in realtime using simple control algorithms at first and progressing in complexity toward the employment of deep reinforcement learning drl later on the images are analyzed offline using convolutional neural networks for optimizing absorptionreflection set points for the abovedescribed feedback controlthe proposal has two main goals 1 boosting the optimization of perovskite solution printing by effectively balancing exploration and exploitation of the large parameter space 2 demonstrating enhanced process control of certain system states to achieve higher process reproducibility and resilience in perovskite printing these goals are complementary in a sense that control is exceeded on rapidly accessible parameters while optimization is performed with slowly accessible parametersin conclusion this proposal presents a fundamental and concise new methodology of addressing reproducibility and scalability in perovskite solution printing that could be used for printing of functional thinfilm as well highlighting its generality
membrane scale up for chemical industries

the project measured aims at developing and demonstrating at trl7 advanced membrane materials for pervaporation pv membrane distillation md and gas separation gs technologies applied to acrylic ester production membrane manufacturing and gas separation from a carbon capture utilization ccu stream pv targets 1 m2 of membrane processing h2o flux 10 kgm2hr using a 55channel tube in the industrial setting of arkema a stability 90 over 3 months of testing resulting in a capex 30 lower compared to current cost from 2100 m2 to 1500 m2 md aims at treating the daily amount of generated wastewater 70 lh from the manufacturing facility of pvdf membranes at gvs spa with energy supply via about 100 solarphotovoltaic collectors showing higher chemical resistance 10 25 reduction of water footprint permeability of reused md for microfiltration 500 lm2hrbar gs prototype will be scaledup to a membrane area of 12 m2module using a 61channel tube installed downstream the gaya methanation unit of engie reducing the membrane cost produced at large scale from 1944 m2 to 795 m2 almost 60 at the end of the project the integrated measured technologies will reach a trl7 demonstration over 20000 hours operation under industrial operational conditions measured includes a thorough multiscale modelling and simulation techniques including a full life cycle assessment and addresses the societal implications to increase the acceptance and further market readiness the interdisciplinary consortium overall 17 participants 2 smes 7 industries and 8 universitiesresearch centers will comprehensively study the development of advanced materials reactor design and process configuration to identify the most sustainable options from a demonstration technoeconomic and environmental point of view
hyquality europe

hyquality europe aims to understand hydrogen fuel quality across europe and enable hrs operators to provide assurance that their fuel is fulfilling the required quality standards the project is designed to understand hydrogen fuel quality in europe by carrying out a representative mass market investigation of european hrs hydrogen quality collecting 300 spot samples of both lightduty 700 bar 60 gs flow rate and heavyduty samples 350 bar 60 gs flow rate from at least 100 hrs in at least 13 european countries these samples will be analysed by the leading hydrogen analysis laboratories in europe and the results will be published in an opensource database the results will provide the data to clarify the occurrence class of different european hrs impurities from which hrs operators will be able to form a costeffective risk assessment quality assurance plan instead of taking an expensive prescriptive approach by facilitating hrs operators to provide low cost quality assurance the project will lower the price of hydrogen at the nozzle and subsequently increase consumer confidence increase the incentive for fleet operators to switch to hydrogen vehicles and enable the widespread deployment of hydrogen vehicles and refuelling infrastructure the project will also advance upon stateoftheart hydrogen quality assurance by instrumenting 3 hrs with online analysers and develop testing capacity by laboratory proficiency testing 10 european hydrogen analysis laboratories in line with iso standards finally the occurrence of a minimum of 4 new impurities will be investigated using wide scope analytical techniques the project will proactively seek to influence the development of iso standards and future research on this crucial topic through the involvement of leading researchers in the field
sex differences in bnst prepronociceptinexpressing neurons in modulating chronic stressinduced depressivelike behaviour in mice

major depressive disorder mdd is a highly prevalent and disabling condition experienced by 6 of the population worldwide interestingly women are twice as likely as men to suffer from mdd and the specific mechanisms contributing to such difference are only starting to be elucidated chronic mild stress has been shown to reproduce in rodents some of the main traits of mdd such as anhedonia or anxietylike behaviour chronic stress has been shown to interfere with prepronociceptin pnoc expression in the anterior bnst ambnst in rodents interestingly it has been established a functional antagonistic role of pnoc neurons over corticotropinreleasing hormone crhexpressing neurons which mediate the stress response in mammals moreover ambnstpnoc neurons have been shown to support rapid arousal responses toward motivationally salient stimuli in mice preliminary data has demonstrated sex differences in ambnstpnoc distribution across compartments indicating possible sexdependent effects of stress on ambnstpnoc function we aim to explore sex differences in ambnstpnoc neurons in rapid arousal responses upon sucrose presentation and its relationship with chronic stressdriven anhedonia to that end rapid arousal responses in male and female mice will be studied after chronic stress in mice and related to anhedoniclike behaviour and pnoc and crh expression in compartments of the bnst to further understand the effects of chronic stress in pnoc neurons calcium transients using 2photon calcium imaging in ambnstpnoc neurons will be studied before and after chronic stress chemogenetic activation of ambnstpnoc after stress will be used to functionally test that low pnoc expression drives hypoarousal states related to anhedonic behavior the proposal aims to elucidate sex differences in the pathophysiology of chronic stressdriven depressivelike behaviour and provide new perspectives and ideas on the higher prevalence and treatment resistance in females
shape deciphering sarcoplasmic reticulum shaping in heart function

cardiovascular diseases cds are the main cause of death in the european union eu and they cost the eu 210 billion a year expanding the molecular knowledge on cds is a key factor in the struggle against them the sarcoplasmic reticulum sr is one of the chief organelles involved in proper cardiomyocyte function due to its implication in calcium handling and because of that one of the principal therapeutic targets sr comprises at least two different regions whose function is well known however the molecular actors that profile it and how the correct arrangement of them is obtained remain unknown in contrast endoplasmic reticulum er shaping and how changes in its shape affects er function have been recently described due to this shapefunction relationship and considering the similarities between er and sr it is likely that sr shape modulators are fundamental also in maintaining proper sr function in this scenario it is tempting to speculate that er shape alteration is involved in the development of cds the aim of this project is to study how the sr shape affects its function this ambitious goal will be achieved by bringing together my expertise in cardiac physiology with the knowhow of my supervisor in er shapefunction and my cosupervisor knowledge on calcium signalling by using the powerful genetic model drosophila melanogaster the results of the project will impact the cardiac function knowledge and could provide possible new therapeutic targets against cds moreover the results of the project could impact other fields of research as well as muscular research by expanding the understanding of sr shapefunction relationship
intuitive interaction for robots among humans

thanks to developments in computing sensing and communication technology great progress has been made in the control of robots affixed to the factory floor mobile robots in controlled environments and selfdriving cars in mediumcomplexity environments however mobile robots are not yet capable of seamless interaction in human populated environments primarily due to the high complexity of modeling and reasoning over the effect that robot actions have on other robots and humans and the inherent uncertainty humans rely on intuition namely the ability to understand interaction instinctively without the need for conscious reasoning however for control systems it is notoriously difficult to model intuition and to do so with safety guarantees with respect to physical constraints my goal is to provide mobile robots with the ability to reason about their coordination with other agents and the associated risks take appropriate actions and continuously reassess i will reach this goal by developing an innovative approach across the boundaries of motion planning multirobot task assignment and machine learning in interact i propose a holistic view on the interaction of mobile robots and humans where i will consider multiple spatiotemporal granularities ranging from individual interactions to the interaction of a robot fleet with humans in a city and from short term local to long term global effects of the interaction robots will use past experience to learn local and global intuition models of their interaction with the environment these intuition models will be integrated in novel uncertaintyaware optimization methods to compute safe interactionaware trajectories task assignments and routes for mobile robots interact will lay the foundation for intuitive multirobot interaction make it possible for teams of mobile robots to safely interact in humancentric environments and enable a new level of automation in factories and cities
carbonnegative pressurized hydrogen production from waste using an energy efficient protonic membrane reformer carmah2

carmah2 will enable highly attractive hydrogen production from biogas through demonstration of a protonic membrane reformer biopmr that integrates steam methane reforming and watergas shift reactions hydrogen separation heat management co2 capture and hydrogen compression in a single stage the realization of 6 process steps in a single reactor allows to achieve unprecedented energy efficiency with a project target to demonstrate 85 hhv at the biopmr level the biopmr technology enables direct delivery of purified and pressurized h2 30 bar biopmr will be coupled with co2 liquefaction to enable direct production of foodgrade co2 coupling the liquefaction unit allows for higher hydrogen recovery and liquid co2 production as the offgas from the liquefaction process will be recycled back to the biopmr unit carmah2 will demonstrate the biopmr technology integrated with co2 liquefaction at the existing arazuri wastewater treatment plant in the region of navarra in spain the demonstration plant will be operated for at least 4000 h and produce 500 kgday of hydrogen and above 4000 kgday of foodgrade co2 to facilitate the demonstration carmah2 will install 1 a pretreatment system for biogas compression and removal of sulphur and other impurities 2 two biopmr modules which will operate directly on biogas co2 40 vol and 3 an integrated co2 liquefaction unit the demonstration plant will be located in ebro valley hydrogen corridor and the project aims to secure offtake of the produced hydrogen and liquid co2 during operation the overall system will be controlled and analysed by an advanced control system and an associated digital twin that will be developed in the project the wastewater plant is currently operating a biogas production plant of 4 mw from which the biogas is utilized for power generation the achievements in carmah2 will be an important proof of technological feasibility advancing the technology from trl5 to trl7
legacies understanding how historical states have shaped modern institutions and dissent

while todays political map divides the globe into about 200 sovereign states there were hundreds more in the 18th and 19th centuries although most of these historical states no longer appear on modern maps they have left behind institutions symbols and elite networks what are the legacies of these historical states we propose a new theoretical framework to unpack the impacts of historical states on patterns of conflict and democracy in the modern world and a powerful new method capable of generating highresolution data on the topographies of statehood globally between 17501920 our method overcomes major limitations and obstacles in current practices of studying the legacies of historical states and enables us to transcend 2d cartesian mapping assumptions that are poorly equipped to render statehood in what were often decentralized international systems drawing on our new theoretical framework we use the highresolution legacies data to estimate how historical statehood has shaped contemporary patterns of dissent and democracy our project has the potential to transform the way international relations scholars see and understand the international systems of the 18th and 19th centuries and how these legacies have shaped the political contours of the modern world
multimetal anode towards safe and energy dense batteries

li metal is considered to be the holy grail anode material due to its high specific capacity and low standard redox potential and could in theory lead to the assembly of extremely high energy density cells metal anode based batteries in general represent the main viable option towards a leapfrog in terms of energy density when compared with current liion technology thus motivating important research efforts in liair lisulfur and more recently solid state batteries ssb unfortunately all of these technologies even ssb suffer from dendritic li growth eventually resulting in short circuitthermal runaway requirements for smooth li metal electrodeposition mostly consist in the fine control of the cation mass transport through the solid electrolyte interphase sei which in turn is governed by the composition morphology and stability of the latter unfortunately and after several decades of investigation it is virtually impossible to achieve the perfect interphaseinterface which can sustain thousands of cycles in real battery operation conditions the main objective of multimetalbat is to bring a new paradigm for metal anode by developing electrolytes containing a mixture of multiple cations li na k ca2 or mg2 which will modify the overall thermodynamics of plating and stripping when compared with conventional single metal anode kinetic competition between various electrodeposition processes will be promoted and the sei will be engineered to sustain high mechanical chemical and thermal stability hence helping promoting homogeneous cation diffusion through it targeted figures of merit include i critical current density for 3d metal growth above 10 macm2 and ii 350 whkg energy density for 100 mah pouch cells almost doubling that of current liion yet the main objective of multimetalbat will be increased safety and extensive standard safety measurements will be performed on prototype cells and compared with liion batteries
development finalization and optimization of argo semi active antenna catalyst to revolutionize sub6ghz 5g wireless systems

the advent of 5g has completely transformed the telecommunications landscape elevating the wireless experience to unprecedented heights however the key challenge associated with 5g deployment is the substantial increase in the number of required radios which translates to high capex opex the transition from the passive to active antenna concept packing tenths of radios in a radio unit is contributing to both increased intricacy expenses the argo active antenna catalyst enables a single board ru which represents a groundbreaking integration of rf integrated circuit rfic with ultra slim printed antenna array our path reduction rfic leads to increased flexibility in network deployment which can be leveraged to enhance costeffectiveness reduce power consumption and expand coverage with eic support we intend to finalize the optimization manufacturing validation of our rfic commercialize argo active antenna catalyst as a comprehensive solution scaleup globally
xtend u an amputee solution for a life without pain blisters and infections

xtend u is a prosthetic liner developed to help ventilate the stump while fulfilling the primary role of a liner unlike traditional liners it is made of 3 layers the first layer is a compression sock in direct contact with the skin it is made of an ultrabreathable textile and has friction increasing dots that further support the suspension to the stump the second layer is a washable superabsorbent material that can absorb up to 1000 of its weight in water without significant volume change finally the third layer allows for securing the liner to the prosthetic protects the inner layers and helps transmit loads from the prostheticthis combination of materials enables reducing by half the relative humidity around the stump this will make a massive difference for users that will get a cooler feeling and reduced risk of chafing blisters sores and infections xtend u will provide crucial comfort allowing prosthetic users to wear their prosthetics for extended periods of time
aibased ccam trustworthy explainable and accountable

connected and cooperative automotive mobility ccam solutions have emerged thanks to novel artificial intelligence ai which can be trained with huge amounts of data to produce driving functions with betterthanhuman performance under certain conditions the race on ai keeps on building hwsw frameworks to manage and process even larger real and synthetic datasets to train increasingly accurate ai modelshowever ai remains largely unexplored with respect to explainability interpretability of model functioning privacy preservation exposure of sensitive data ethics bias and wantedunwanted behaviour and accountability responsibilities of ai outputs these features will establish the basis of trustworthy ai as a novel paradigm to fully understand and trust ai in operation while using it at its full capabilities for the benefit of societyaithena will contribute to build explainable ai xai in ccam development and testing frameworks researching three main ai pillars data realsynthetic data management models data fusion hybrid ai approaches and testing physicalvirtual xil setups with scalable mlopsa humancentric methodology will be created to derive trustworthy ai dimensions from user identified group needs in ccam applications aithena will innovate proposing a set of key performance indicators kpi on xai and an analysis to explore tradeoffs between these dimensionsdemonstrators will show the aithena methodology in four critical use cases perception what does the ai perceive and why situational awareness what is the ai understanding about the current driving environment including the driver state decision why a certain decision is taken and traffic management how transportlevel applications interoperate with aienabled systems operating at vehiclelevelcreated data and tools will be made available via european data sharing initiatives opendata and opentools to foster research on trustworthy ai for ccam