Dragon09/odtu_chatbot huggingface dataset:
strongcoupling for optimal plasmoncatalysis

scopc strongcoupling for optimal plasmoncatalysis will provide a theoretical methodology and detailed investigation to improve photochemical plasmonic catalysis and extend it with a nonintrusive controlstrategy i will efficiently embed realistic external electromagnetic environments into firstprinciples densityfunctional theory calculations shaping this electromagnetic environment into the form of a resonator the resonator plasmonic particle and molecule constitute multicomponent cavities which provide nonintrusive control over the plasmonmolecule dynamics by means of the size and quality of the external resonator scopc paves a way to control photoabsorption crosssection and catalytic features ontheflight without the need to change structure or composition of the nanoparticles in addition i will resolve current limitations of firstprinciples qed especially the limitation to treat only very few molecules strongly coupled to a photonic environment stands in clear conflict with experimental reality a problem that will be resolved with the help of subsystem densityfunctional theory i will provide a detailed study from firstprinciples on the impact of strong lightmatter coupling on plasmonic catalysis and energytransfer in general scopc adds a new facet to plasmonic catalysis and delivers vital extensions to firstprinciples qed
crop efficient redemitting source

ceres aims at evaluating possible commercial applications of new proteinbased downconverting redemitting led sources laboratory prototypes exhibit an extraordinary stability and efficiency as well as an easytotune emission spectrum this contrasts with the commercial lowenergy emitting led technology ceres will focus on a validation phase including i the optimization of the upscaling of protein production the preparation of largearea proteinpolymer color filters and the assembly of redemitting led arrays and ii the test in preindustrial crop controlled environment agriculture growing boxes this information will be paramount to realize a realistic market impact
structural health assessment of bridges during and after flood events

the project structural health assessment of bridges during and after flood events floodshab aims to investigate the structural behaviour of critical infrastructures such as bridges focusing on the studying and assessing the structural response of bridges during and after flood events the main objective is to improve the understanding of bridge structural behaviour under various health conditions and enhance the capacity to detect structural damage caused by component failure or foundation scouringclimate changes increasingly impact our life it has become less predictable droughts floods and new temperature records are becoming more common worldwide including in europe the rising global temperature intensifies the water cycle which increases wet and dry extremes and affects the critical infrastructure essential for the functioning of a society and economy due to their significance bridges need protection from potential hazards including natural disasters and ageing the increased water levels result in the additional force from fastmoving water which can lead to structural damage and scouring of bridge foundations regular inspections continuous structural health monitoring especially during flood events and maintenance programs are vital to ensure bridges structural integrity and safety the bridge monitoring research focuses around addressing the challenges of data capture and data interpretation in the aspect of floodings there is a lack of knowledge about correct measuring techniques and data interpretation for these instantaneous phenomena by comprehensive data collection of bridges structural behaviour onsite for the selected local case studies at least 2 bridges and further rigorous analysis interpretation and wide numerical simulations the patterns and trends in the bridges structural behaviour especially during and after flood events and feature thresholds will be defined and established
effects of extreme flow changes on periphyton biofilm and carbon cycling in alpine streams

the year 2022 was a year of catastrophic extreme climatic events at an unprecedented scale rivers around the globe drying up chinas extreme heat wave extreme floods in pakistan and in the united states are clear examples of a climate change scenario that is expected to be more and more pervasive in the next years despite evidence of the increase in frequency and intensity of extreme events the effects of the extreme oscillations between droughts and floods on streams carbon cycling are still uncertain alpine streams are important contributors of inland water carbon and changes that occur in alpine streams can profoundly alter downstream reaches affecting the global carbon budget and in turn exacerbate climate impact in the future pericarb efa aims at understanding how periphyton biofilms community composition changes due to extreme flow change events and the reduction in the recovery time for the microbial community between events it will link biofilm changes in community composition to changes in carbon cycling and in greenhouse emissions by linking microbial ecology and carbon biogeochemistry changes in alpine streams pericarb will inform on the impact of climate change on global carbon budgets pericarb will constitute a multidisciplinary project joining the applicants previous experience with the excellence of the host institution and a group of established collaborators it will provide advances for the field of carbon biogeochemistry and allow the applicant to return to europe to establish as a researcher
exotic high energy phenomenology

the standard model sm of particle physics is a very elegant theory that has led to a long list of impressive achievements one of the latest being the discovery of the higgs particle nowadays the researchers of the phenomenology at the highest energy frontier face the unknown and one of the biggest questions in the field is what physics lies beyond the sm progress in answering this question will require the combined efforts of a large number of experimental and theoretical physicistshow does my project fit in this context the research project that i present will uncover original models describing the laws of physics at the energy frontier its ultimate goal is to answer what novel phenomenology may lie beyond the sm my plan is to attack this question through a constructive approach and to establish an atlas characterising all the allowed extensions of the sm in order to achieve this i will develop a variety of new tools and approaches based on the scattering smatrix bootstrap and positivity constraints which will permit a rigorous exploration of the space of high energy theories and the discovery of new exotic effective field theories onshell effective field theory which will allow us to a achieve an unprecedented precision in the determination of observables key for the interpretation of data from upcoming generations of collider experiments and b uncover new hidden structures of the sm the hamiltonian truncation method this will be a universal tool for computing quantum field theory observables beyond perturbation theory providing a window into new stronglycoupled phenomenabased on my experience and equipped with these new methodologies my team and i will be able to penetrate uncharted territory and so discover novel phenomenology at the energy frontier something which is hardly possible with more conventional methods the approach i propose will be crucial to meet the upcoming challenges in the high energy frontier
crystallisation towards efficient and sustainable biomanufacturing

downstream processing dsp of biopharmaceuticals is dominated by chromatographic steps which suffer from low throughput poor scalability and elevated energy consumption as well as high equipment and materials costs to this is added the low stability and high degradability of liquid formulations the training program crystallisation towards efficient and sustainable biomanufacturing procrystal vision is that of crystallisation as a simple sustainable costefficient and scalable alternative to current dsp techniques and liquid formulations once it allows to separate purify and stabilise in a single step nevertheless integrated training to exploit biocrystallisation full potential is currently not available only fragmented research activities within this training program 13 doctoral candidates dcs are expected to go beyond current practise to respond to the near future biopharma manufacturing needs and only possible leveraged by the expertise conveyed in this consortium on biomolecules crystallisation biochemistry chemical and process engineering as well as advanced modelling the procrystal training program for the dcs has been framed with special attention to fundamental understanding of the underlying phenomena from the molecular scale to process scale and advanced experimental and modelling techniques specific to crystallisation technology the dcs will acquire a wide range of subject specific and general transferable skills in an interdisciplinary and intersectoral environment and by multinational collaboration which enhances the earlycareer dcs long term employability and competitiveness
beyond the information paradigm from prediction to anticipation

within theoretical neuroscience many have by now embraced the view of the brain as a prediction machine which updates its predictions in light of incoming information yet these predictive processing theories pp face big conceptual challenges as ive shown previously by relying on semantic notions like information representation prediction hypothesistesting etc they resist integration within the larger causalmechanistic framework of which they claim to be a part the twofold problem is first how to make naturalistic sense of semantic content or meaning at the level of individual neurons or neural populations and second how the assumed semantic content is supposed to be causally efficacious yet if we cant understand the neuroscientific data in terms of upstream information downstream prediction and resulting prediction errors how then should the neuroscientist interpret the bidirectional neural activity via 3 complementary research objectives ro103 this project is aimed at providing an alternative explanation for the neuroscientific data which is traditionally framed in terms of information processing and more recently information prediction for ro1 the pivotal move will be to substitute the problematic notion of prediction with an empirically underpinned biological notion of anticipation that does not involve semantic content and which does fit within the boundaries of the causalmechanistic framework with ro2 this notion of anticipationwithoutprediction will be applied to the neuroscientific findings the pp theorist explains in terms of prediction ro3 will be dedicated to further study anticipationwithoutprediction at the microbiological level via lab experiment overall the project aims to present an alternative to the computationalist view of the brain which identifies neural activity with information processing in this sense the project has paradigmshifting potential
engineering quantum materials for terahertz applications

i propose to demonstrate a novel design paradigm for terahertz thz technologies which places the ultrafast thermodynamic properties of quantum materials at the heart approaches with conventional semiconductors and metals as well as recent attempts with twodimensional materials typically aim to exploit the optoelectronic properties of materials towards developing thz components and systems this has so far not led to the desired breakthrough that the currently still underdeveloped terahertz regime so greatly needs the vision of this project is that the truly gamechanging potential of quantum materials for thz applications lies in their exceptional ultrafast thermodynamic properties quantum materials such as graphene and topological insulators have giant thermodynamic thz nonlinearities and generate ultrafast and efficient thzinduced thermoelectric photocurrents they can be combined with photonic structures into quantum metamaterials with strongly enhanced lightmatter interaction and are compatible with established electronic and photonic technologies exploiting these and more remarkable properties we will demonstrate thz emitters nonlinear thz convertors and thz detectors all based primarily on thermodynamic design principles these will outperform currently available thz components on several fronts and establish quantum materials as the ideal material platform for integrated thz photonics with novel capabilities specifically we will focus on a combination of quantum materials that are relatively well understood and novel material systems that are promising yet less well understood as a result we expect major impacts both on a fundamental level in terms of understanding ultrafast thermodynamic phenomena and on an applied level in terms of engineering these thermodynamic properties towards concrete thz technologies the ultimate goal is to unlock the full potential of the thz range and bring utility and benefit to society
spin based quantum computer and simulator spinus

the spinus project aims to establish experimental platforms for both quantum simulation with 50 quantum units and quantum computation with 10 qubits despite rapid advancements scaling and implementing quantum simulators and computers towards a regime surpassing available classical methods remains difficult due to the demanding constraints of existing architectures by utilizing the exceptional qualities of silicon carbide sic and diamond materials the spinus project suggests a novel strategy for scalable solidstate quantum simulation and computation hardware based on nuclear spin networks and dipoledipole entangled electron spin qubits our first goal is to create a quantum simulation platform that uses optically polarized nv centers and color centers along with nuclear spin networks in diamond or sic this technology allows for the investigation of a wide range of strongly correlated models without being constrained by the capabilities of the available quantum simulators second we aim at scaling up platforms for solidstate quantum computing to more than 10 fully programmable qubits at ambient temperatures for these purposes the consortium will investigate various architectures and techniques for initializing controlling and reading out the spin qubits with the goal of achieving largescale quantum simulation and computation capabilities this will take advantage of the excellent coherence properties and robustness against environmental noise of these materialsspinus has great potential to advance the field of quantum computing and simulation and open new possibilities for the investigation of intricate quantum systems by fostering and contributing to a european quantum and a european diamond ecosystem by working closely with startup businesses affiliated with the project team and cooperation with the related flagship initiatives
crystalline oxides platform for hybrid silicon photonics

silicon si photonics stands as a solid candidate to address the scaling challenges of emerging communication systems with an evergrowing number of interconnected devices however si has major physical limitations that prevent onchip integration of key functions strong twophoton absorption limiting nonlinear optical devices si centrosymmetry preventing fast optical modulation and an indirect bandgap nature hindering light emission and amplification the common solution to overcome these limitations is the hybrid integration of various materials on si each addressing one specific limitation however this strategy requires a dedicated technology for each material to be integrated which compromises cost and scalability in this context the cryptonit project will explore a new paradigm for si photonics based on the hybrid integration of multifunctional zirconiabased crystalline oxides coxides providing several physical properties nonexistent in si strong nonlinearities ferroelectricity and light amplification the original idea is to develop hybrid superlattices comprising multiple nanoscale layers of different coxides to combine key optical functionalities using a common sicompatible fabrication process the project will focus on the demonstration of advanced nonlinear and optoelectronic devices on si operating in the nearinfrared for the development of highlyefficient and broadband photonic integrated circuits the main objectives are i the development of a hybrid si photonics platform based on multifunctional coxide superlattices ii the demonstration of high power and broadband frequency comb sources strong nonlinearities and amplification and the demonstration of highspeed 100 ghz optical modulators based on pockels effect ferroelectricity these objectives are groundbreaking in nature and will open new horizons for research and applications in communications sensing and quantum photonics
intelligent trust and security orchestration for 6g distributed cloud environments

itrust6g aims at designing and implementing a network architecture implementing the zerotrust principles to increase the trustworthiness of 6g networks at several levels aiml algorithm exploited for threat handling asset compliance explainable security policies and asset observabilitythe prioject aims to improve the accuracy and the efficiency of the i methodologies used for trust determination eg time to share cyberthreat intelligence duration of the vulnerability assessment procedure number of the assurance conformity check ii the performance of the security procedures involved eg number of classes of monitored resources mean timetodetection of threat mean timetoreaction and iii the induced overhead over network resources exploitation eg performance overhead due to the programmability models
dementiaalzheimer drug attributed to cystatinc and other mutations precision medicine drug development

with an aging population and 55 million dementia cases worldwide treatments are more needed than ever however effective treatments are lacking with solutions only stalling dementia progress and no real diseasemodifying effect ati has developed at001 a new drug with the potential to stop and revert the disease and to delay its onset at001 has been developed through the dnaca precisionmedicine based platform which applies big data mining and deep learningai algorithms to identify patients with validated biomarkers at001 is different in that it prevents aggregation of amyloidtau proteins common in many types of dementia phase iia clinical trials have shown strong effects in the treatment of hccaa we will now carry out a registration trial for commercialization in iceland and poc studies in europe to obtain nda in familial dementia thereby informing the treatment of alzheimers disease 60 of dementia cases potentially changing the lives of millions for the better
the semiparacrystalline organization in polymers towards stable organic solar cells

most advanced semiconducting polymers do not seem to fit in the traditional structural clasification of polymers which labels polymers as amorphous semicrystalline or paracrystalline in fact a single semiconducting polymer can be interchangeably identified as amorphous semicrystalline or paracrystalline depending on the characterization method used given the interlink between microstructure and optoelectronic properties in organic semiconductors this vagueness has farreaching consequences on the optimization of organic electronic devices eg contributing in the case of organic solar cells to the current lack of solutions for their severe instability issues the vision of paracryst is to fundamentally rethink the basic structural principles of polymeric semiconductors to finally decipher their solidstate microstructure to achieve so paracryst will use and build upon the new concept of semiparacrystallinity ie the fourth structural model for polymers recently introduced by the applicant the new semiparacrystalline model puts in our hands a new toolkit that will be here directed to i rationalize the so far elusive microstructure of semiconducting polymers to ii deliver moreprecise structureproperties relationships for these materials and iii to induce major improvements in devices starting with increasing the stability of organic solar cells gaining insight into a newly discovered semiparacrystallinity paracryst will reshape the very foundations of the physics of polymers moreover it will induce a paradigm shift in how structurefunction relationships are delineated in semiconducting polymers impacting the whole organic electronics arena from bioelectronics to neuromorphic computing to wearable electronics but specifically as proof of feasibility paracryst will employ the semiparacrystalline model to find once and for all efficient solutions to the degradation issue that is hampering the scalingup of organic photovoltaics
derisk the adoption of local flexibility markets to unlock the safe and reliable mass deployment of renewable energy systems

derisk aims at supporting the market uptake of renewable energy systems by fostering the adoption of lfms and unlocking up to 100gw of flexibility in 2030 which will allow a safe and reliable integration of res in the grid derisk will achieve this ambitious objective by minimizing the investments and implementation risk through an innovative customer behavior change journey that will increase end users trust and willingness to participate in the flexibility markets derisk integrates building citizen and grids digital twins in its flexibility platform capable of reducing the gap between simulation and real implementation thus mitigating potential technical risks during deployment and operational phase to maximize derisk impact innovative multisided business models will be developed ensuring multibenefits fairness and sustainability for all actors while disruptive financial schemes will be validated for democratizing the access to sustainable investments finally a set of experts will develop regulatory recommendations to support a fair clear and transparent adoption of lfms