Dragon09/odtu_chatbot huggingface dataset:
smart digital solution for field development planning optimization

to meet the worlds energy demands specifically with easy oil reservoirs depleting it is important to optimize production and field development planning fdp this will be even more pronounced in the years to come if pore space is to be used to store co2 or hydrogen in largescale decarbonized energy solutions traditional modeling practices are known for high computational demand and workflows for optimizing management strategies tend to be manual due to the complexity of the models in this project the goal is to develop an advanced optimization procedure that will serve as a smart decision support tool which can be used to choose the best field development plan while handling properly the technical economic and environmental constraints this tool integrates automated simulation with artificial intelligence and metaheuristic algorithms in one selfadaptive optimization framework and will provide possibilities to deal with complex optimization tasks in the development and management of reservoirs under uncertainty the expected outcomes of this project are a new generation of solutions that can enhance and optimize the recovery of hydrocarbons and can also be customized to address complex optimization issues in natural energy resource development co2 sequestration and in other disciplinesthe project will be performed in three steps i digital formulation of fdp tasks under complex constraints ii development of a smart solution for fdp optimization and iii userfriendly tool for decisionmaking the multidisciplinary aspects of the project include simulation optimization and data science the researcher will combine his previous research experience within these areas and develop new skills to perform the project the host institution will provide infrastructure and supervision of different aspects of the project by integrating the researcher in a strong team in reservoir modeling and optimization that also provides collaboration with industry
a compact continuous superradiant clock on the mhz strontium line

optical atomic clocks can measure time with an uncertainty on the order of just a few seconds over the age of the universe measurement with this level of precision has farreaching applications from the measurement of minute changes in the fundamental physics constants revealing physics beyond the standard model to technological advances in navigation and network synchronization to unlock the full potential of atomic clocks we must minimize the dependence on the precision of an external optical resonator and miniaturize the experimental apparatus required allowing for fielddeployability in this project i will realize the first ever continuous superradiant laser based on 88sr atoms theoretically proposed to reach a linewidth even smaller than the ultranarrow natural linewidth of the clock transition in strontium i will then use the continuous superradiant laser as the basis for the first ever continuous superradiant optical clock minimizing uncertainties due to the dick effect further during the fellowship i will use my previous experience with compact cold atom systems to miniaturize the experimental apparatus as a step towards a compact continuous superradiant clock
minimally invasive and closedloop ultrasound neuromodulation and recording for the treatment of focal epilepsy

epilepsy is a common and debilitating chronic neurological disorder furthermore a large fraction of patients suffers from refractory drugresistant epilepsy responsive electrostimulation is a stateoftheart treatment for refractory epilepsy but is invasive and not celltype selective as a result the surgery is susceptible to complications eg haemorrhage and infection and overstimulation due to falsepositive epilepsy detection can cause brain region overactivity and even induce seizures in contrast ultrasound neuromodulation unmod is a recent noninvasive and celltype selective technique that promises to pave the way for truly inhibitory protocols the goal of this project is to design and optimize a firstofitskind minimally invasive closedloop unmod treatment for refractory epilepsy acoustoelectric heterodyning will be used to realize remote noninvasive hippocampal neurorecording subsequently a controller will detect seizures and will trigger neuromodulatory insonication with a miniaturized subcutaneously implanted phased array moreover an alternative noninvasive and closedloop technology will be designed for testing and patient selection before implantation the main hurdle towards the realization of this disruptive treatment is our limited understanding of the underlying mechanisms of unmod and acoustic neurorecording i intend to close this knowledge gap by developing an experimentally validated comprehensive and morphologicallyrealistic computational framework of the ultrasoundsensitive hippocampal formation subsequently this model will be used to optimize the insonication and recording protocols and to design the transducer and electrode arrays this project concentrates on focal epilepsy but the envisioned minimally to noninvasive celltype specific closedloop technology with millimeter resolution has the potential to revolutionize also the treatment of other brain and peripheral nerve disorders
beyond turing reactiondiffusion mechanisms of embryonic selforganization

developing embryos display a remarkable capacity for selforganization generating diverse shapes patterns and structures de novo first conceived in the 1950s turings reactiondiffusion hypothesis proposes that this selforganization is driven by interacting and diffusing signalling molecules indeed mathematical turing models recapitulate patterning in silico however key limitations cast doubt on the relevance of turing models in vivo first current models are highly simplified and extremely fragile at odds with the highly reproducible nature of embryonic development second turing mechanisms form repetitive patterns eg fingers whereas many in vivo patterns do not repeat third turing patterns do not scale with tissue size unlike most embryos and tissues we propose that these limitations arise because current models are too simple to capture the molecular complexity operating in vivo turing models thus represent only a small subset of the much larger class of in vivo reactiondiffusion mechanisms here we will build biologicallyaligned mathematical models to investigate reactiondiffusion systems with unprecedented levels of complexity and biological realism aided by new computational tools aim 1 we seek novel selforganizing mechanisms that are highly robust aim 2 do not repeat aim 3 and scale to tissue size aim 4 our pilot data already indicates that this will reveal new paradigms for pattern formation beyond turings original hypothesis our models will be challenged by data from various biological systems including published datasets as well as close collaborations with experimentalists taking advantage of the increasing availability of highresolution quantitative data our unique blend of expertise spans theoretical physics experimental embryology and computational biology ideally positioning us to discover conceptually new mechanisms of pattern formation that allow embryos tissues and organoids to selforganize
dynamics and structural analysis of 2d materials

dynastys primary objective is to build in the european south east and in particular in the foundation for research and technology hellas forth in crete a significant pole of attraction for nanomaterials researchers and scientists this will be accomplished through joint research activities and partnering with two wellestablished european research teams which are in the forefront of nanomaterials research the activities will contribute in scientific production that will motivate and attract young scientists in nanomaterials eg 2d materials science and technology the partners include a the university of antwerp ua with strong expertise in advanced electron microscopy for materials science and in condensed matter theory the emat and cmt groups respectively which are both part of the ua nanolab center of excellence belgium b and the national institute of applied sciences insa university of toulouse with deep expertise in advanced spectroscopic characterization techniques of 2d materials the activities involve training through crosslab visits workshops short courses joint conferences and welldesigned communication activities to attract young scientists at forth all teams will provide their expertise and collaborate to build advanced imaging and spectroscopy expertise at forth combining nonlinear and timeresolved optical spectroscopies that will provide precise fine structural analysis of 2d materials and their heterostructures by the end of the threeyear project forth will gain advanced skills in nanomaterials characterization and knowhow in nanoelectronic devices fabrication as a result dynasty will create a collaborative platform for widening experimental networks among nanomaterials labs in europe enabling local teams to produce excellent interdisciplinary nanoscience currently lacking in greece
composition operators on spaces of dirichlet series and algebrability in banach algebras

this project will investigate timely questions on composition operators acting on banach spaces of dirichlet series and on hypercyclic algebras these topics are currently the subject of great mathematical interest however fundamental questions remain unresolved in the respective fields the first objective is to advance the theory of banach spaces of dirichlet series by employing operator theoretic function theory to understand the topological structure of the set of composition operators acting on these spaces an effective method of achieving this is to study approximation numbers of differences of composition operators this project will determine the rates of decay of approximation numbers of differences of composition operators acting on spaces of dirichlet series and characterise the linear combinations of composition operators acting on general banach spaces of dirichlet series the second objective is to investigate the algebraic structure contained in the set of hypercyclic vectors of multiplication operators acting on the banach algebra of compact operators hitherto work in this area has mostly been in the setting of frchet algebras so this project will advance the theory for banach algebras and ultimately to identify whether every banach algebra supports a hypercyclic algebra interest among the wider mathematical community in the findings of this project stems from its natural connections to some of the most important open questions in mathematics in particular the study of hardy spaces of dirichlet series is related to the riemann zeta function and the investigation of hypercyclic algebras has a natural connection to the invariant subspace problem the scientific breakthroughs resulting from this project will also impact on a wide scientific community where the results and methods will potentially find applications in dynamical systems mathematical physics physics computer science and quantum information theory
science in the city malta

the european researchers night science in the city consortium malta will engage the publics in the framework of a science and arts festival in 2022 the festival theme taking root builds upon previous themes while focusing the festival on the european green deal and horizon europes missions taking root emphasises how important science and research are in everyday life and in active responsible citizenship in a world which is undergoing monumental changes especially to its environment nutrition and health covid19 has shown us just how true this is while climate change is an unavoidable threat we need to adapt and build resilience towards the festival will be held online and in the streets and buildings of maltas capital city valletta a unesco world heritage site making it the second hybrid science and arts festival the main aims of science in the city sitc since 2012 have been to engage people emotionally and intellectually through science and the arts showcase local and international excellent research projects increase awareness of the importance of ri encourage interest in stem and research carers and instil a more favourable attitude towards research and its public funding it has done so by introducing creativity critique and analysis as well as the trend of responsible research and innovation rri among researchers and citizens alike for ten years it has offered a platform for all stakeholders to meet discuss and engage with ri in 2022 the element of research action design will be at the centre of the activities here collaborative creative planning and design of activities grounded in the vision and needs of the community will bring all stakeholders on board from the start every stage of sitc will be developed using a usercentered and participatory design process to make the festival as inclusive as possible no matter their background
bioinspired transmembrane nanomachines

a hallmark of life is its ability to utilise local free energy to do work at molecular scales such work is done by millions of sophisticated protein complexes that act as nanomachines prominent among these are the transmembrane motor proteins they lie at the centre of lifecritical molecular processes such as atp synthase and bacterial propulsion despite the great attention creating artificial molecular machines has received across scientific disciplines constructing artificial transmembrane nanomachines remains largely unexplored such transmembrane artificial nanomachines would give us direct access to one of lifes most universal energy sources transmembrane electrochemical potentials and enable us to design novel molecular machines for molecular catalysis transportation and cargo propulsion in membranemachines i aim to realise a breakthrough by designing and building a series of multicomponent transmembrane nanomachines that are embedded in lipid bilayers using dna technology nanopores and nanofabrication my team and i will design build and test1 an electrochemicalgradient powered transmembrane nanoturbine in biocompatible lipid bilayers to generate controlled conformational changes and power synthesis of lifecritical molecules such as atp 2 an analyteagnostic artificial nano stepper that can universally thread polymers through nanopores using selfassembled monolayers and dna technology 3 an artificial bacterial flagella motor that converts transmembrane ion gradient into translational propulsion enabling a new direction in constructing and driving active nanovehicles harnessing cuttingedge advancements in biophysics and biochemistry membranemachines promises not just strides in the fields of nanomotors and nanoengineering but also introduces fresh perspectives on nanoscale synthesis molecular manipulation and dynamic nanovehicle cargo transport
learning from animals how to regenerate multidisciplinary training programme in regenerative biology

the regenerateit network brings together a full spectrum of disciplines from fundamental to applied research to train the next generation of researchers in regenerative biology and adjacent fields while the natural regenerative ability of humans is limited some animals have remarkable regenerative capacity for example planarian flatworms can restore all body parts from small pieces of tissue salamanders can grow back lost limbs and repair damaged eyes and zebrafish can regenerate their heart and fins by identifying the common biological principles underlying the regenerative processes in these different animal models we can learn a great deal on how to improve regenerative interventions in humans currently regenerative animal models are studied in isolation preventing the discovery of such shared mechanisms and the regenerateit network fills this gap esrs trained by regenerateit will obtain a broad and unique understanding of the fundamentals of regenerative biology and of the needs of research in regenerative medicine the regenerateit network therefore includes scientists working on regenerative model organisms such as flatworms cnidarians crustaceans amphibians and zebrafish stem cell scientists working on mouse and human models scientists with impressive track records in translational research and experience with clinical trials and experts in key technologies such as genomics single cell sequencing imaging and drug screening regenerateit will train 10 esrs and 1 associated doctoral researcher through research secondments to other laboratories consortium meetings and workshops covering a wide range of topics in addition to consolidating european strengths in regenerative biology and training a cohort of nextgeneration scientists capable of crossdisciplinary research regenerateit will combine and deliver theoretical and technological breakthroughs and advance the frontiers of regenerative biology and medicine
ai and machine learning for less overproduction and more sustainable consumption in the fashion industry a deep learning approach to understand products and customers better

saiz ai for product development optimization in the fashion industry saiz enables fashion brands to optimize product development towards their own specific target groups thereby minimizes the overproduction in the fashion industry hugely analog and nondatadriven processes have caused extreme inaccuracy when producing fashion an average fit rate garment fits the target group is estimated to be at 15 sellthrough rates what gets sold during the season is at 6070 production of fashion items is water energy and pollution intensive but a large part of the produced garments are produced so poorly that they never even make it to a customersaiz enables a fashion brand to fit their products to 2 million bodies of their target customers virtually to prevent products going into massproduction that will not fit and will not be sold a huge monetary game changer for the industry and a big relief for the planet saiz estimates to be able to save 400mio tonnes of co2 with datadriven product development in the next 5 years
unraveling the regulatory networks in streptomyces that switch on antibiotic production on demand

as natures medicine makers streptomyces bacteria produce a plethora of natural products which we harness for clinical biotechnological and agricultural applications including 70 of the antibiotics streptomycetes still have a vast reservoir of unexplored biosynthetic potential but many biosynthetic gene clusters bgcs are not expressed in the laboratory to bring the chemical dark matter to the light we need to discover the keys to unlock the expression of cryptic bgcs i aim to add an entirely new dimension to genome mining namely via understanding and exploitation of the regulatory networks that control natural product biosynthesis in actinobacteria my team discovered the concept of antibiotic production on demand showing that plant hormones activate antimicrobials predicting when instead of what bgcs produce will allow clustering of bgcs based on their response to ecological signals this can serve as a beacon for prioritising bgcs and aid in the discovery of new biosynthetic pathways i will tackle three major challenges1 the systems biology challenge is to elucidate the regulatory circuitry of streptomycetes and to reliably predict how bgcs are controlled2 the metabolic challenge is to unwire the networks that tie carbon metabolism to antibiotic production to bridge the gap from the complex polysaccharides in nature to the defined carbon sources of the laboratory3 the ecological challenge is to unravel the mechanisms and molecules via which plants invoke the power of streptomyces bioactive molecules to obtain protection against infections and pests aimed at biological diseasesuppressioncommunity is an open science project that will help to elucidate whether the yet unexplored bgcs will deliver a paradigm shift in drug discovery for application in agriculture and human health deliverables are innovative systems biology tools and detailed transcription factor networks elicitors for drug screening and diseasesuppressive microbes
dynamics and replica analysis of monitored systems

the dreams dynamics and replica analysis of monitored systems project aims to understand the physics of monitored quantum systems ie manybody systems that periodically undergo a series of repeated local measurements the competition between the monitoring and the unitary dynamics which respectively favor and hinder the building up of nonlocal quantum correlations can give rise to a measurementinduced phase transition such a transition can be detected for example by looking at the growth of the entanglement of a subsystem or the purification timescale of an initially mixed stateas entanglement is a central quantity in quantum information a complete understanding of the dynamics of monitored systems and their critical behavior would have significant consequences both at the theoretical level and in the development of quantum technologiessuch as error correction and quantum control via feedback to this end a replica approach has been recently proposed this has the advantage of framing the evolution of the system in terms of linear equations at the price of introducing the need for an analytic continuation of our resultsdreams is divided into three parts first the dynamics of some fullyconnected models will be investigated through the replica formalism as the physics of these models is dominated by meanfield effects it is possible to derive exact analytic solutions and understand the conditions under which critical behavior could emerge then more realistic finiterange interacting systems will be taken into account to probe the validity of our predictions in the presence of a spatial modulation of the coupling an extensive numerical activity will be carried out to test our prediction finally these results will be reinterpreted in light of the existing theoretical frameworks for monitored systems trying to extract general predictions
recycling industrial waste heat through the application of thermophotovoltaic and thermoelectric a novel hybrid technology for electricity generation

energy intensive high temperature processing industries lost more than 50 of their energy as waste heat during the production which accounts for 200 twh of power each year in europe there are many technologies available for converting waste heat into electricity but at industry scale the adaptation of these solutions is scarce specific barriers such as efficiency and cost of these renewable technologies and difficulty in integrating these systems in the production lines limit their extensive adoption as heat recovery technologies in the industry innovative approaches to improve the efficiency with new modular technology are therefore urgently required that can be retrofitted in production lines to save energy and reduce greenhouse gas emission the primary goal of inferno is to develop a new hybrid platform system based on the integration of thermophotovoltaics tpv metasurface collector metas and thermoelectric generators teg which will eventually contribute to a breakthrough in sustainable energy harvesting from industrial waste heat we will develop new infrared sensitive low bandgap 07 ev tpv cell with integrated plasmonic metamaterials to increase the photon adsorption to improve the overall heattoelectricity conversion efficiency to 25 and high performance teg devices made of earthabundant materials with an efficiency of 10 with an innovative design strategy all these components will be integrated to develop a modular hybrid energy harvesting system that can be easily integrated in the production lines for converting waste heat into usable electricity to accomplish the projects ultimate goal expertise in materials research modelling cell fabrication thermoelectricity and electronics is merged in a paneuropean scale the integrated hybrid system and its components tpv metas teg invented by inferno will be tested in 3 pilot demonstrations in 3 countries to convert waste heat into electricity to reduce greenhouse gas emission