RCaz/eu-funding-proposals-sft huggingface dataset:
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Describe the novelty, innovation potential and advance beyond the state of the art for 'Solar carbothermic production of Zn from ZnO (SOLZINC)' (SOLZINC).

assistant: **Innovation**

Objectives and problems to be solved: The technical feasibility of a solar thermal chemical reactor for producing Zn from ZnO and carbon as a reducing agent in about a 0.5 MW plant is investigated for i) the production of Zn as a commodity with very low CO2 emissions and ii) the realisation of a cyclic process where Zn is produced from ZnO in a solar reactor and the Zn is used as a solar fuel" for electricity production in Zn-air fuel cells. This work includes optimising the Zn-air fuel cells for solar Zn and optimising the interfaces between the solar reactor and the zinc-air cells. The CO2-mitigation potential for producing Zn as a commodity is assessed as well as the specific costs for producing electricity from concentrated solar light stored as Zn. Description of the work: First a 10 kW version of the solar reactor chosen for scale-up for about a 0.5 MW plant is build and tested. Quantified performance variables include the specific conversion rate of ZnO to Zn as a function of temperature and the amount of carbon as a reducing agent. The lower the specific amount of carbon the larger the fraction of stored solar energy in the products, but the more difficult is to condense the zinc without re-oxidisation. The experimental results are used to develop a numerical model that predicts performance as a function of operating conditions and to finalise the design concept for the large-scale reactor. A reactor including feeding system and off-gas handling unit for the about 0.5 MW plant is designed, constructed, and tested. The numerical model used to predict reactor performance is validated. Furthermore, a Zn-air fuel cell system suited for up scaling for small electric power plants based on Zn will be designed, build and tested. The large-scale tests are done in a 1 MW
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Write the 'Expected Impact' section for the project 'COST-EFFECTIVE HAND-HELD DEVICE FOR RAPID IN-FIELD DETECTION OF FLAVENSCENCE DOREE PHYTOPLASMA IN GRAPEVINES' (VITISENS), addressing dissemination and exploitation.

assistant: **Impact**

VITISENS proposes the development of an innovative hand-held device that integrates the three steps for accurate detection of nucleic acids (extraction, amplification and detection) in a single platform with a cost below €1000 + €10/test. This in-field tool will allow non-technical staff to easily detect the Flavescence dorée, the most destructive phytoplasma disease of grapevines. The incidence of this disease is epidemic and rising rapidly in many European countries, straining grape and wine producers already struggling to maintain global competitiveness.Currently available laboratory techniques for detecting the disease are expensive, time-consuming and require trained personnel as well as expensive equipment in centralized laboratories, and in many cases carry the risk of sample contamination. Overcoming portability, heterogeneity, risk of contamination and ease of use limitations rely on the ideal integrated design of the platform within a closed disposable cartridge while overcoming the expense of current methods relies on the amplification step, done under isothermal conditions by the loop-mediated isothermal amplification (LAMP) as well as on the development of a low cost robust fluorescence reader.The technology will directly benefit European winegrowers by limiting disease spread and reducing the number of vines destroyed. Wine quality and crop yield will increase, while production costs related to the systemic use of pesticides and the production of healthy vines will be reduced. Other benefits extend to vine nurseries being able to issue quality certificates of planting material, and to authorities when monitoring disease occurrence.Manufacturer SMEs will benefit from accessing new markets with new portfolio products, generating new income sources and from t
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Write the 'Expected Impact' section for the project 'De novo structural elucidation of functional organic powders at natural isotopic abundance' (STRUCTURE), addressing dissemination and exploitation.

assistant: **Impact**

Structure holds the key to many of the physical world’s most intriguing secrets. Diffraction from single crystals has revolutionized our knowledge of crystalline matter by providing atomic-scale images of countless samples and leading to landmark achievements in science. However, when crystals of sufficient dimensions cannot be grown, structure can hardly be retrieved using currently available methodologies. This hampers our understanding of the physico-chemical behavior of numerous samples, such as functional organic powders (FOP), hence precluding the design of new materials with tailored properties. Solid-state NMR (SSNMR) has the potential to be the key to access the structure of powders for applications in energy or pharmacy. However, the inherently low sensitivity of NMR constitutes the main barrier to retrieve valuable constraints such as interatomic distances and torsional angles from spin-spin couplings involving rare nuclei (e.g. C-13, N-15) on organic samples at natural isotopic abundance (NA), for which chemical shifts are certainly easier to access but less structurally relevant. The project will capitalize on Dynamic Nuclear Polarization (DNP) to enhance the sensitivity of SSNMR and obtain unique structural constraints on NA FOPs. Specifically: (i) intra and intermolecular distances, torsional/bond angles and H bonds will be measured for the first time via DNP SSNMR; (ii) together with powder X-ray data, these constraints will be integrated within modern computational algorithms to assist the generation of physically meaningful 3D structures with minimized risk of false positives. The protocol will be applied to time-resolved in situ/ex situ investigation of self-assembly to gain control into polymorph production. We will create an integrated experimental/
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Compose the 'Concept and Approach' section for a Horizon Europe proposal on 'Developing technologies to engineer plant genomes at the megabase scale'.

assistant: **Concept**

Genomics research combined with revolutionary genome editing tools has created new opportunities to explore fundamental aspects of biology and develop novel (bio)technologies for medicine, agriculture, and industry. The OMEGA project is designed to build on these developments by enabling Megabase-scale engineering of plant genomes. Experimentally-determined lists of essential genes have been crucial for such large-scale projects in other species but are currently unavailable in plants. Therefore, the OMEGA project needs to determine which plant genes are essential for growth and development. However, the standard technologies used to identify essential genes are limited by genetic interactions (e.g. redundancy, synthetic lethality). My group is developing multiplex CRISPR screens in plants to specifically overcome these limitations. The OMEGA project will use this capability to identify genome-wide essential genes and genetic interactions in Physcomitrium patens. This will be the first systematic genetic interaction screen in plants and will likely identify interactions conserved across the green lineage. The OMEGA project will also develop technologies to move, edit, and delete DNA at the Megabase scale. As proof-of-concept, I aim to reduce ~10% of the P. patens genome and remove all non-essential DNA from one chromosome. The SCRaMbLE system will be adapted for P. patens and used as an alternative approach to minimize chromosomes and also perform in planta directed evolution. Lastly, we will use a DNA assembly method developed in my lab to build biosynthetic pathways in vivo using modular DNA assembly methods. These tools will create opportunities to explore fundamental aspects of genomics, chromosomal biology and synthetic biology. The objectives of project OMEGA are
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Write a project proposal abstract for 'Data Should Inspire – Development of a Disruptive Big Data Analysing Solution for Marketing Agencies' to be submitted under Horizon 2020.

assistant: **Abstract**

InboundMuse™ is a revolutionary tool that automates the entire process from data mining to insight generation andfurthermore suggesting the optimal solution just as a human would – something unique in the realm of digital marketing. Thiswould save hours from an analyst’s job. When this powerful tool is introduced in an agency setting with multiple clients, itseffects are cumulative and the agency ends up saving days off its schedule, which means faster delivery, better clientsatisfaction and client retention. Client retention is the crucial factor for an agency because its 10x more expensive to sell toa new client then to an existent client. Through SME Instrument Phase 1, we are seeking finance to prepare a FeasibilityStudy and Business Plan to determine in-depth the possibility, feasibility, risk, viability, profitability and sustainability of thisnew project.
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Explain the overall concept, methodology and approach for the project 'Accelerating geometrically exact metamaterial modelling' (AGE2M).

assistant: **Concept**

The magnetically induced movement of a soft elastic material which contains magnetic particles includes rotations of said particles. In other words, the particles apply torque on their surroundings. Since the material is soft, large deformations take place, in part due to these rotations of the magnetic particles. The current coupled magneto-mechanical theory does not account for this phenomenon and is thus poorly suited for its description. At the same time, magnetically induced rotations are desired in robotics in order to allow for complex movement, which motivates the need for a better model. Another major problem are the long computational times, or in general, the large computational cost of simulating the complex materials which are used in soft robotics. These materials, otherwise called metamaterials, are endowed with an artificially designed micro-geometry, which allows the designer to control certain material properties. As a result, simulation tools must be able to correctly capture that geometry, which often entails openings or re-entrant corners. The reining approach of using standard finite element technology for that purpose yields a very high computational cost, since a vast amount of elements is required  in the computation. This motivates the necessity of a new finite element framework with a significantly reduced computational cost. The solutions of this proposal consist in introducing novel theoretical and numerical frameworks for the design and computation of metamaterials with applications to soft robotics. The new theoretical framework will couple the theory of electromagentism by Maxwell with the micropolar continuum theory of Cosserat, thus allowing for micro-rotations and non-symmetrical stress tensors. The novel numerical framework will intro
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Describe the specific objectives and expected outcomes for 'mesoscale multi-mode MRI of molecular targets' in the context of a Horizon 2020 call.

assistant: **Objectives**

Imaging defined cells, over extended time, depends on signal strength, stability, accessibility and specificity. Whereas light-microscopy (LM) can provide these, it does not allow imaging of entire intact tissues; imaging-depths and area-size are restricted, and not easily obtained through skin and bone. Magnetic Resonance Imaging (MRI) outperforms LM in these instances; providing images of large-fields-of-view (i.e., mesoscale), at any depth, easily across bone. Nevertheless, MRI suffers from low signals, spatial resolution and cannot detect specific biological targets. To remedy these shortcomings, and significantly extend the capabilities of MRI, we propose a novel chemo-genetic approachMAGNIFISCENT (MAGNetic Including Fluorescence Imaging of Select Cells with ENzymatic Tags)to jointly image multiple defined cellular-targets by MRI and LM. In parallel thrusts, we will synthesize a novel family of multifunctional, membrane-permeable, liganded-Contrast-Agents (CA; patented) that irreversibly bind original genetically-encoded enzymatic tags (eTags). When several eTags are expressed in various cells, each will bind its corresponding liganded-CA bearing a unique MRI-signature (color); affording multicolor-MRI of the brain. To mitigate hurdles of expression, we introduce enrichment, an elegant scheme to increase binding-surface for MFS-agents. We estimate it to increase resolution of MRI to the single-cell level. Lastly, developing split-eTags will enable imaging cellular interactions of up to four different cellular populations jointly, a feat never shown before for MRI. We develop an innovative targeted-recombination scheme to ENTRAP neurons destined for apoptosis; a hallmark of neurodegeneration. Together, when combined, select targets will be irreversibly tagged for lo
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Draft an executive summary for the EU project 'Hydrogen Storage in Electric Field Responsive Metal Organic Frameworks Studied by Machine Learning Potentials' (HydroMOF) targeting Horizon Europe.

assistant: **Abstract**

Hydrogen storage is a key technological barrier to the development and widespread use of hydrogen energy in transportation, stationary, and portable applications. The safe and efficient storage of H2 is an important and still challenging issue. In this regard, metal-organic frameworks (MOFs) possessing large surface areas, a variety of topological/chemical structures, high porosities, and  high stabilities are considered promising nanoporous materials for gas storage applications. Theoretical studies have shown that electric fields can promote gas storage in MOFs by inducing controlled structural changes, which has recently been experimentally confirmed.To unravel the underlying mechanisms at the atomic level, I aim to investigate the H2 storage characteristics of electric field responsive MOFs by combining machine learning (ML) and molecular modeling methods. In order to model switchable MOFs, I will construct machine learning potentials and use them in Molecular Dynamics (MD) simulations in order to overcome the restricted time and length scales of ab-Initio MD, and the accuracy and reliability concerns of MD. In order to determine the H2 uptakes of the MOFs, I will push the limits further and combine machine learning potentials with the Grand Canonical Monte Carlo (GCMC) simulations. The main research objectives are to generate accurate machine learning potentials with a low computational time cost, determine how selected MOFs react to an applied electric field, control pore opening/closing, control and improve H2 uptake by switching electric field, determine the impact of an electric field on the interaction between the host and H2 as well as on the presence of different adsorption sites. This project has the potential to be a “door-opener” for fast and accurate des
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Draft the 'Objectives and Scope' section of a Seventh Framework proposal for the project 'Identification of mechanisms controlling temporal neurogenesis in the cortex using an embryonic stem cells-based model'.

assistant: **Objectives**

The cerebral cortex is one of the most complex and important structures in our brain. In correlation with its elaborate functions, the neocortex comprises a huge diversity of neuronal types, each cortical neuron displaying specific patterns of differentiation and connectivity. During development, embryonic progenitors sequentially generate the diverse repertoire of neuronal subtypes that will form the cortex (from early-born Cajal-Retzius neurons to later-generated pyramidal neurons). The molecular mechanisms accounting for this striking capacity of cortical progenitors to generate all types of neurons are unknown.  The aim of my project is to identify the mechanisms of cortical neurogenesis that further have crucial implications for our understanding of pathological brain development and for the rational design of replacement therapies of neurodegenerative diseases. In this matter, the host lab (Dr Pierre Vanderhaeghen lab) has developed a particularly adequate model. In this system, murine embryonic stem (ES) cells efficiently generate neurons that share all landmarks of genuine neurons of the cerebral cortex. Strikingly, developing neurons recapitulate the major milestones of in vivo development, including the sequential generation of distinct subtypes of neurons. In this unique model of temporal neurogenesis, I will test candidate genes such as the transcription factors FoxG1, Sp8 (both affecting mammalian brain development through unknown mechanisms), and Chinmo homologues zBTB20-24 (Chinmo affecting temporal neurogenesis in drosophila), using an inducible system of gene expression. By microarrays experiments I will determine the gene expression profiling of generated neurons. This will allow to look for gene signatures of cortical neurons generated from ES cells,
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Describe how 'Vehicle road tyre interaction - full integrated and physical model for handling behaviour prediction in potential dangerous situations' will create measurable scientific, societal and economic impact aligned with Fourth Framework.

assistant: **Impact**

Objectives and content Transport system safety is clearly one of the most important social problems and involves a lot of items, such as road, tire and vehicle design. Moreover, the driving environment strongly influences the comfort, stress, strain and reactions of the driver, so also his quality of life. The proposed activity faces the problem of transport system safety implementing a new and global (but detailed) model for the full road-tire-vehicle system simulation: this model will be focused on the handling behaviour prediction in potential dangerous situations (presence of water, ice, snow, slush, suddenly friction changing) in order to design systems able to prevent danger. So far, more or less sophisticated vehicle simulation models are already used by vehicle and tire producers, but they are not completely integrated with tire-road interaction models, so they do not properly take into account the most dangerous conditions. Moreover, these models are not physical yet, so they can't give a concrete help to the system design. On the contrary, the new model proposed with this research will be physical: it means that the parameters will have a physical background (they won't be a mathematical interpolation only), in order to give a real help to design a safe EU transport system. The activity includes also a deep investigation of the driver reactions (also with the aid of driving simulators) and the development of a simple behaviour model, in order to verify the final result of the full vehicle-road-tire system including the driver as an integral part. The research will be developed in tour directions:  Development and validation of a new road-tire-vehicle simulation physical model. This activity will include the development of sub-models concerning vehicle, frictio
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Describe the novelty, innovation potential and advance beyond the state of the art for 'Real-time exploration of virtual plant ecosystems' (REVPE).

assistant: **Innovation**

The synthesis of models for the simulation of plant ecosystems, like forests, is an active research topic in which the CASIA-LIAMA (Chinese Academy of Sciences Institute of Automation - Laboratory for Informatics, Automation and Applied Mathematics, in Bejing) is involved through the GreenLab project. These models produce a massive quantity of data, which makes difficult the visualisation of the resulting virtual plant ecosystem.The aim of the project is to allow real-time interactive exploration of such virtual ecosystems. It is based on recent research results in the field of real-time rendering of complex 3D scenes developed by the EVASION project of INRIA (French research institute for computer science and control). The researcher, for this Marie Curie O IF project, is Philippe Decaudin; he has more than 10 years of experience in the field of computer graphics acquired in both public research laboratories and R&D department of a private industrial company. The outgoing host is CASIA, and the return host is INRIA.