Dragon09/odtu_chatbot huggingface dataset:
novel 2d3d materials for lanthanide recovery from nuclear waste

malar aims to develop an innovative approach leading to technology for the selective recovery of rareearth metals from nuclear waste it involves exploiting materials assembled from 2d sheets into 3d structures to improve the efficiency and selectivity of the recovery process of lanthanides from spent nuclear fuel traditionally lanthanide recovery has been a challenging and resourceintensive process 3d materials based on 2d sheets and 3d porous architectures offer increased surface areas and unique chemical properties that can facilitate the separation and recovery of lanthanides from nuclear and other industrial wastesutilizing specialized infrastructure for radiochemistry available at the hzdr alphalab in germany the marcoule institute in separation chemistry the university of montpellier and the hzdr rossendorf beamline at the european synchrotron radiation facility in france dedicated to actinide science together with the expertise provided by ume university in sweden for the design of new materials the material characterization capabilities of national university of science and technology politehnica bucharest in romania and knowledge of uppsala university in sweden in theory and modelling the malar team will be able to develop new approach for recovery of lanthanides using complementary competencies fundamental knowledge at the atomic and molecular levels gained at the synchrotron by newly developed methods during the insitu chemical sorption reaction on radionuclides combined with electronic structure calculations will be used to design new porous materials by connecting the 2d sheets into the high surface area 3d architectures engineered for separation of actinides and lanthanides from strongly acidic nuclear waste extracts our goal is to create a powerful closetothemarket activity and provide highimpact novel technological solutions for the field of nuclear waste management
mwscale fluidized particledriven csp prototype demonstration

the powder2power project aims to demonstrate at the mwscale trl7 the operation of an innovative cost effective and more reliable complete fluidized particledriven concentrated solar technology that can be applied for both power and industrial heat production the prototype to be developed and tested is based on the modification and the improvement of an experimental loop built in the framework of the previous h2020 project nextcsp it will include all the components of a commercial plant a multitube fluidized bed solar receiver 2 mwth an electricitydriven particle superheater 300 kw a hot store a particletoworking fluid crossflow fluidized bed heat exchanger 2 mwth a turbine hybrid brayton cycle gas turbine 12 mwe a cold store and a vertical particle transport system 100 m it is planned to organize the experimental campaign at the themis tower france during one year adding an electricitydriven particle superheater will enable to validate a pvcsp concept working at 750c that is expected to result in electricity cost reduction with respect to the stateoftheart at utilityscale this temperature allows to adopt high efficiency conversion cycles typically 750c for supercritical co2 sco2 cycles the expected increase in conversion efficiency sun to power of the p2p solution with respect to molten salt technology is in the range 5 to 9 and the cost reduction is 54 lcoe the hybrid csppv concept enables to reach 9 in efficiency increase and the csponly concept 5 the proposed approach includes the sustainability assessment in environmental and socioeconomic terms a special attention will be brought to elaborate in a transparent way all documents necessary to ensure replicability upscaling and to assist future planning decisions ten participants from 6 eu countries constitute the p2p consortium six participants are industrial and service companies and four are public research institutions and universities
chiral active granular matter

in this proposal chiral active granular matter chiagram is designed and investigated through a combination of numerical experimental and theoretical studies granular particles are characterized by collisions that dissipate energy and have been recently activated by breaking the translational symmetry of their shapes or internal components the novelty of this proposal lies in the introduction of chirality through the breaking of the rotational symmetry the resulting chiagram will be characterized by a broad range of fascinating singleparticle and collective phenomena such as circular motion clustering hyperuniformity and spatial velocity correlations whose properties will be systematically investigated through experiments and theoretical models the implementation of an airflow mechanism and the behaviour of chiagram under flow will represent an intriguing forward research step in the field of active granular systems and more generally active matter emergent properties such as negative mobility odd diffusivity as well as longrange collective phenomena are expected because of the interplay between airflow and chirality the project will fundamentally benefit from the expertise of my supervisor a worldleading and pioneering scientist in the field of chiral active matter as well as from the experimental and theoretical support provided by the secondment host a worldleading expert in active granular systems chiagram will distinguish for originality proposing a novel granular material with fascinating properties that will open a new research line of experimental and theoretical investigation bridging active chirality and granular matter
magnificoprecommercialization of multifunctional targeted mricontrast enhancing agents for brain research

magnetic resonance imaging mri is a nondamaging and noninvasive imaging modality with the abilities to effortlessly image the entire brain at any depth however mri provides images with low contrast and very poor resolution and these are but an indirect description of features in the tissue eg cells because mri images water protons these aspects limit the use of mri in preclinical research settings eg biomedical research to study brain diseases resultantly pharmaceutical and biotechnology companies are constantly in search of novel methods that endow mri with capabilities to distinguish defined biological targets for the study of brain diseases in animal models currently there are no suitable solutions we specifically address these shortcomings and extend the capabilities of mri by developing an allinone solution the solution consists of the synthesis of novel targeted fluorescent contrast agents suitable for light microscopy computed tomography and mri and the parallel engineering of cells when combined cells in the brains of animals can be detected by mri in vivo lastly we provide a unique ex vivo protocol for validating the targets imaged by mri in vivo
radar classification of obstacles in nature

forests cover more than 40 of europes surface and are essential for biodiversity provide fresh water absorb carbon and preventerosion yet they face detrimental effects of climate change such as wildfires or outbreaks of the bark beetle the field of roboticsoffers a pallet of tools to help manage and monitor forests yet mainly by flying robots ground robots that could carry heavierequipment and last longer struggle in vegetation since their autonomy systems have been developed for obstaclefree scenarioseg driving on roads the research proposed here radar classification of obstacles in nature racoon aims to enable thedeployment of ground robots in forests by giving them the ability to decide which vegetation can be safely driven through theapplicant will deploy a new sensor modality ie radar and develop a novel sensor fusion system that will classify vegetation into theobstacle and nonobstacle categories this additional information will allow ground robots to autonomously plan trajectories andnavigate in vegetation the problem will be approached first by exploring the possibilities of radars in a proofofconcept experimentthen a forest robotic dataset will be recorded in various types of vegetation the experience from the proofofconcept experimentand the recorded data will motivate the design of the final sensor fusion system the outcomes of racoon will be 1 dissemination ofthe new system and dataset to the research community and professional networks 2 training of the applicant in the deployment ofradars for mobile robots and 3 extending the applicants professional network and independent research capabilities advancing him towards starting his own robust field robotics research group
nanoagentbased threemethod treatment for atherosclerosis combination of thermal mechanical and drugbased methods

the aim of nanotas is to propose a novel threemethod treatment for the atherosclerosis as disease based on nanostructured agents nas which incorporates three kinds of methods into a single one 1 thermal treatment 2 mechanical treatment and 3 antias drugbased treatment the nas employed in the nanotas are proposed to have a novel composite structure including magnetic agents ferritebased nanorods fnrs and plasmonic agents au nanostars aunss thermal treatment is accomplished through magnetophoto thermal therapy mptt a combination of magnetic hyperthermia therapy mht using fnrs under alternating magnetic field amf and photothermal therapy ptt using aunss under nearinfrared laser nirlaser while mechanical treatment is performed through rotation of nas by their magnetic part ie fnrs under rotating magnetic field rmf the nas also load antias drug and deliver it to target sites through a biocompatible and thermosensitive polymer accordingly the specific objectives of nanotas can be summarized as oi decreasing the inflammation in blood vessels involved in the as through thermal treatment mptt oii targeted release of antias drug using a thermosensitive mechanism triggered by thermal treatment oiii breaking and abrading plaques using mechanical treatment through rotation of nas under rmf the objectives are achieved through applying the external stimuli on the drugloaded nas during the following steps step 1 applying both amf and nirlaser this is a twopurpose step in which thermal treatment is accomplished aiming both decrease in inflammation oi and drug release oii step 2 applying rmf this step is applied for breaking and chipping the structure of plaques oiii step 3 repeating the step 1 this step is a supplementary one to decrease in remaining inflammation oi
discovering flow control in transonic diffusing passages

the quest for carbonneutral aviation propels us toward uncharted technological frontiers in transdiffuse we present an ambitious program to develop an aidriven model that may revolutionize propulsion technologies as a synergistic consortium we unite the numerical modelling prowess of valeros team the highfidelity computational capabilities of lehmkuhls group and paniaguas experimental ingenuitytransdiffuse aims to develop new tools related to clean propulsion specifically an aidriven model called fluidgpt in doing so we expect to enable major advancements to the aeronautical and power generation sectors including for example hydrogen pressure gain combustion pgc engines which are compact lightweight highefficiency turbines in initiating fluidgpt we aim to overcome challenges like those facing pgc by exploiting the thing that has made compact turbomachinery so difficult to design the troublesome transonic flows propelled from the combustor with our model we aim to control and manipulate those transonic flows our approach to fluidgpt is anchored in characterizing predicting and then manipulating the intricate unsteady inherently difficult transonic flowsthus unlocking the design and development of transonic diffusing passages a notorious obstacle to designing turbomachinery passages in new compact efficient engines fluidgpt will model the navierstokes equations for such conditions enabling the prediction and control of previously unmanageable flow behaviours a complete model of the navierstokes equations in transonic diffusing passages has never been achieved by the scientific community and our model will be able to reproduce flow configurations never seen beforeembracing innovation and synergy transdiffuse will also unlock new design guidelines and flow control techniques to surmount limitations across the aeronautical and power generation sectors this program may redefine fluid dynamics modelling and control
multiscale simulations of hiv capsid assembly and rna

in this project i will perform computer simulations and develop new computational methods to elucidate viral functions and rna the first two years will take place in the group of prof voth in chicago here i will characterize and quantitatively describe proteolytic cleavage of the casp1 subdomain of the gagprotein in hiv using quantum mechanicalmolecular mechanical qmmm molecular dynamics simulations md furthermore i will employ free energy techniques to simulate binding and unbinding of the protease to casp1 to determine the binding and configurational free energies these processes are essential for hiv maturation and hence also targeted by drugs subsequently i will parameterize coarsegrained models for the proteasecasp1 system and develop a coarsegrained greens function reaction dynamics method this method combines the coarsegrained description with the mesoscopic scale and hence allows me to simulate structural assembly of the virus capsid coupled to proteolytic cleavage at physiological conditions this coherent computational approach targets biomolecular processes of outmost relevance and will greatly advance our understanding but likewise also push the boundaries of molecular simulations due to the methodological innovations the third year will be spent in trieste in the group of prof bussi in this period i will develop a hybrid allatom molecular mechanics coarsegrained mmcg model for rna it facilitates the simulation of rna fragments at atomistic resolution while capturing longrange allosteric interactions due to the coarsegrained representation of the surrounding this will set a new standard to simulate rna macromolecules and offers a wide range of application
toolbox for assessing and mitigating climate change risks and natural hazards threatening cultural heritage

the triquetra project aims at creating an evidencebased assessment platform that allows precise risk stratification and also creates a database of available mitigation measures and strategies acting as a decision support tool towards efficient risk mitigation and site remediation the overall approach of triquetra is based on three distinct steps1risk identification2risk quantification3risk mitigationthis trifecta approach hence the name triquetra creates a framework of risk assessment and risk mitigation so as to tackle as many of these risks as possible in the most efficient way available this is further analysed in the following sections
the wellbeing of the sensitive indoor environment and wellbeing of people with autism

people with autism deserve more attention to their needs for indoor comfort and wellbeing due to their sensitivity to the 5senses stimuli they might perceive the environment differently moreover some individuals with highseverity autism might have difficulties to properly respond to environmental stimuli and therefore to adapt to the environmental conditions nevertheless standards and guidelines typically address average standard populations and little knowledge is present in the literature about how the indoor environment affects the wellbeing of people with autism especially from the indoor environment and comfort engineering perspective this knowledge gap has motivated sensewellbeing in which we aim to perform an extensive study on indoor wellbeing of people with autism objective measurements of environmental parameters behavioral monitoring and subjective questionnaire surveys will be conducted in a living lab and in field studies allowing to 1 compare the perception of multidomain environmental exposures of adults and adolescents with lowseverity autism with a control group in a living lab 2 verify the results conducted in the laboratory in everyday life environments and with individuals with a higher severity of autism 3 study adaptive strategies depending on autism severity and comorbidities 4 apply and validate a methodology based on thirdparty observations to survey the environmental wellbeing of people with communicative difficulties 5 associate the responses to individual characteristics gender age cultural background healthstatus sensewellbeing will be significant for the scientific community designers and industry it will offer inputs to extend and refine models standards and guidelines to be used for the design of comfortable environments for people with autism as well as to develop home automation systems to improve wellbeing safety and autonomy of people with autism and special needs in general
energy transfer catalysis a highway to molecular complexity

the development of novel synthetic methodologies is one of the most essential chemical research areas since the access to organic molecules is the foundation for many applied sciences eg medicinal chemistry materials science in recent years the construction of increasingly complex molecular scaffolds has gained significance with a particular need for conformationally restricted threedimensional architectures however the synthesis of such molecular frameworks remains exceptionally challenging limiting their application in other research branches consequently revealing novel strategies to convert simple feedstock chemicals into complex building blocks has a beneficial impact on society as a whole in highent we will disclose groundbreaking methodologies augmenting the synthetic toolbox of organic chemists focusing on expanding the chemical space to discover pharmacologically relevant structural motifs the key to success is the creative and innovative utilisation of the unique triplet excited state reactivity enabled by visible lightmediated ent catalysis providing a platform for unconventional retrosynthetic disconnections based on our broad expertise in this field we will investigate diverse areas of ent catalysis including nonclassical and dearomative cycloadditions as well as bond cleavage processes in each domain longstanding challenges will be solved with respect to product motifs chemical space expansion and mechanistic understanding furthermore we envision the merger of nheterocyclic carbene nhc organocatalysis with ent catalysis opening otherwise locked reaction pathways finally to guide our product and mechanismoriented reaction discovery we will develop and apply a novel prediction platform based on the interconnection of quantum chemical calculations and machine learning we aim to provide easily accessible tools and statistical analyses that give new insights and impetus for reaction design
electrolyte optimization for enhancing green ammonia production from nitrogen electroreduction

the continuously increasing environmental concerns together with a potential energy crisis make more necessary than ever to explore alternative and sustainable energy sources that can replace fossil fuels ammonia is gaining momentum as a promising alternative renewable energy carrier and storage intermediate for global use in the future nowadays ammonia is mainly produced via the haberbosch process which is high energydemanding and source of greenhouses gases emissions the electrochemical nitrogen reduction reaction enrr is a promising opportunity and at the same time a challenging alternative route for green ammonia synthesis under ambient conditions although to date most enrr research studies focus on catalyst design the electrolyte is vital since it essentially is responsible for the selectivity and efficiency of the process and more research is needed the proposal electrolyte optimization for enhancing green ammonia production from nitrogen electroreduction greener fills this gap by focusing on novel electrolytes development and enrr optimization for green ammonia synthesis boosting the transition toward zerocarbonwith the support of my supervisor prof bella and his cuttingedge european research council erc green electrochemistry lab at the politecnico di torino i will be trained in materials methods and data analysis in electrochemistry and this fellowship will boost my career in science
innovative catalytic process to valorize nylon wastes

the accumulation of plastic waste presents a global and urgent challenge necessitating the development of more environmentally friendly mechanical and chemical recycling methods this challenge is particularly acute for polyamides materials commonly known as nylons eg fishing nets carpets etc which are mostly either deposited in landfills or incinerated due to the lack of efficient recycling techniques with upcyclon we propose to capitalize on breakthroughs achieved through erc renewhydrides focusing on a disruptive chemical upcycling process for polyamides this pioneering innovation provides via a novel catalytic conversion operating under mild conditions an unprecedented access to new nitrogencontaining polymers currently unavailable using established synthetic routes these polymers with anticipated physicochemical properties such as high thermal stability and potent chelating capabilities promise diverse applications ranging from co2 capture to polyurethane synthesis and wastewater treatments in addition this approach to polyamide waste management represents an innovative and commercially significant endeavor particularly for polyamide producers facing pressure from new european policies like extended producer responsibility epr to swiftly develop sustainable solutions for waste recycling or management
autonomous robotic aid for increasing first responders efficiency

triffid targets the development of an integrated approach for maximizing the efficiency of first responders fr field operations by advancing remote and smart robotic reconnaissance in disaster sites while integrating it into european civil protection cp procedures the project will deliver the following advancements a hybrid mobile legged ugvuav robotic platform for autonomous realtime reconnaissance in dynamic environments the triffid robots will receive orders in the field by a human fr crew yet the platform will feature an impressive level of lowlevel cognitive autonomy thanks to advanced ai thus minimizing human supervision and freeing frs from routine tasks b central groundstation with an advanced augmented reality ar interface managed by a human operator the triffid groundstation will merge and display all collected information in nearrealtime providing the operator with an accurate interactive semantic map of the disaster site c analysis of technological operational organizational and policy aspects in the context of the overall fr ecosystem the design of the triffid system and the specification of its exact capabilities will proceed by considering the current technological landscape as well as the entire operational environment and organizational structure of frs so that effective disaster robotics solutions are gracefully integrated into cp infrastructure d fr training activities the project will exploit complementary means for implementing and boosting the adoption of the triffid system by fr personnel in their everyday activities including the development of detailed training curricula the organization of training exercises knowledge transfer and skill acquisition activities etc e ssh robot acceptance and industrial engagement the design and evaluation of triffid will consider indepth all relevant legal ethical societal and usability issues targeting maximal adoption by frs in their daily operations