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: Draft an impact statement for 'Multi-domain Open MALDI Spectra Archive for Identification of Microorganisms', explaining its relevance to EU policy priorities under Horizon Europe.

assistant: **Impact**

MALDIBANK: A Comprehensive Solution to Microbial ChallengesIn an era marked by pressing environmental and health challenges, including climate change, biodiversity loss, global epidemics, and food security, understanding and leveraging the power of microbes is critical. Microbes, fundamental to the biosphere, impact everything from ecosystem dynamics to human health. However, their vast diversity remains largely underestimated. To harness this potential, precise identification of microorganisms is crucial, especially given their varied implications across different sectors. Over the past 15 years, MALDI-TOF (Matrix-Assisted Laser Desorption/Ionization Time-of-Flight) mass spectrometry (MS) has revolutionized microbial identification in fields such as clinical microbiology, food safety, environmental monitoring, and sustainable agriculture. Despite its transformative potential, MALDI-TOF MS technology has been underutilized outside clinical microbiology. MALDIBANK emerges as a groundbreaking initiative to extend the reach of this technology, providing innovative solutions for understanding and utilizing microbial diversity for global problem-solving.MALDIBANK is conceptualized as a global, cloud-based, open MALDI spectra databank for the identification of microorganisms, combining a vast spectrum database with advanced algorithmic tools. This databank will facilitate processing, characterization, epidemiological surveillance, and more, embodying Open Science and FAIR data principles. It aims to become a new reference in microbial identification, drawing parallels with the impact of GenBank in genomics. By integrating 100,000 reference spectra with rich metadata and employing deep learning models, MALDIBANK will enhance microbial characterization and support areas like an
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 'NOVEL PRECIOUS AND NON-PRECIOUS ELECTROCATALYSTS FOR PEMFC' (NECPEM).

assistant: **Innovation**

Practical realization of PEMFCs is mainly hindered by the use of expensive Pt electrocatalysts (EC) coupled with their poor durability due to dissolution and agglomeration. While Europe paid significant efforts in improving the engineering aspects of PEMFCs, including hydrogen refuelling stations, development of alternative catalysts for Pt require further investments. Global attempts are focused on developing catalyst systems with less Pt or no Pt at all. In this regard, macromolecules with N4-chelate structure are considered as alternatives for Pt ECs especially for the ORR. Recently, non-precious carbon alloy catalysts (CAC) received considerable attention as the addition of nitrogen and metal atoms into the CNT matrix tend to improve their catalytic activity towards ORR. The induced activity of CNTs after such doping is mainly attributed to changes in electronic structure with an impurity band near the Fermi level. However, CAC performances are still inferior to that of Pt. One major drawback with reported CACs is that they do not control the size of metal dopants as the sintering tends to agglomerate them and leaves them in the CNT matrix as mere surface bound particles. Hence it is imperative to control the metal doping in the atomic scale as they can donate more electrons to the CNT matrix than nitrogen and could induce more catalytic activity. Thus in this proposal, we plan to prepare CACs with metal dopants controlled in the atomic scale to alter the electronic structure with improved durability as these metal atoms are now part of the CNT matrix. We plan to incorporate various metals into nitrogen based macromolecules such as aza-crown ethers and porphyrins which will be heat treated under reducing atmosphere to obtain CNT and Bucky ball like nanostructures wi
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 a compelling abstract for 'CAPTURING ULTRAFAST ELECTRON AND ION DYNAMICS IN BATTERIES' demonstrating excellence, impact and implementation quality for a Horizon Europe call.

assistant: **Abstract**

Batteries are attractive candidates for lightweight, high capacity, mobile energy storage solutions. Despite decades of research, a persistent fundamental knowledge gap prevents batteries from fulfilling their potential, because the atomistic mechanisms of charge and ion transfer across interfaces in batteries remain largely unexplored by experimental techniques. When charges move, the local arrangement of atoms changes in response to the new electronic configuration. How these changes occur has a significant impact on how efficiently and how far the charges can move, yet the time and length scales are still poorly understood. Conventional experimental probes used in battery research cannot provide the needed ultrafast time and atomic length scale resolution, nor sensitivity to changes in electronic configuration around specific atomic species. Hence, it is currently challenging to unravel the dynamic rearrangement of atoms and ions which accompany electron transfer, and in turn govern the charge transfer processes.UltraBat will close this knowledge gap by pushing further the latest development of ultra-bright and ultra-fast X-ray Free Electron Laser (XFEL) scattering and spectroscopy techniques together with visible ultrafast spectroscopy to study charge transfer between different redox centres in Li-rich layered intercalation compounds and at the solid/liquid interface. Advances in NMR spectroscopy will reveal local ordering and lithium interfacial dynamics on the nanometer scale. Coupled with predictions of experimental observables from a new framework for atomic-scale simulations of the electrochemical interface and transport mechanisms, we will reveal phenomena driving diffusion of ions in complex electrode materials. This will provide the insight required for tran
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 'State of the Art and Innovation' section for a Seventh Framework proposal on 'Synthetic Pathways to bio-inspired information processing'.

assistant: **Innovation**

We shall use data from neuroanatomy and neurophysiology as a guide for the fabrication of deterministic and complex self-assembled networks of polymeric non linear elements with adaptive properties. The main objective is the realization of a new technology for the production of functional molecular assemblies, which can perform advanced tasks involving learning and decision making, and which can be tailored down to the nanoscale. The polymer network shall be prepared using molecular deposition and self assembly techniques in two and three dimensions. Electron beams shall be used for microelectrode configurations and for sample modification. Non linear elements will be provided by Schottky junctions, functionalized gold nanoparticles or molecular heterojunctions, which will be statistically dispersed in the matrix, to mimic the synaptic and neuronal distribution in biological systems as obtained from neuroanatomical data. We shall start with polyaniline embedded in ionic polyethyleneoxide, but other polymeric systems will be explored. The polymers will be functionalized to influence the deposition or self-assembly processes. To train the network we shall use mainly electrochemical modification of the polymer conductivity, for which we  have already demonstrated the basic functional behaviour. . We shall monitor the network transfer function, for different types of signal input, including signal dependent noise. Artificial Intelligence algorithms and specifically developed statistical correlation techniques shall be used throughout. Upon success, the data shall be compared and connected to electrophysiological data obtained for brain systems of different complexity: first the simpler and more deterministic case of the pond snail and subsequently in the far more complex st
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 Seventh Framework proposal on 'High volume piezoelectric thin film production process for microsystems'.

assistant: **Concept**

This proposal will address high volume production of MEMS (Micro-Electro Mechanical Systems) with a piezoelectric thin film as active element (piezoMEMS). This technology can fulfil many of the requirements of sensors and actuators in tomorrow’s smart systems, as a result of the large displacements, high sensing functionality and high energy densities that can be obtained, compared to pure Si-MEMS. As a consequence, they are very attractive for industries like automotive, aerospace, medical, telecom and consumer electronics. Large European companies tend to buy devices like sensors for their products, rather than to develop processes and devices themselves. European SMEs are natural providers of such devices. However, since there are no automated facilities in Europe for volume production of piezoelectric microsystems, they are not able to commercialize piezoMEMS products. A combined effort by European research institutes, industry and SMEs can close this gap. The main vision of piezoVolume is to provide the means for high throughput, cost-effective and robust manufacturing of piezoelectric microsystems in Europe, where SMEs are both device developers and production technology providers. A set of procedures, guidelines and fabrication tools will be developed, enabling short time to market for new device concepts. piezoVolume will combine three leading research groups in Europe, which are already acting worldwide in the piezoMEMS scientific community, with highly relevant and skilled technological partners, to build a consortium that is able to develop a full production line for piezoMEMS in Europe for the first time. Readily available cost-effective wafer based batch processing of piezoMEMS will lower the threshold for industry acceptance and be the enabling technology
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 impact statement for 'NEXT-GEN SOFTWARE IN LEGAL DOCUMENTS AUTOMATION', explaining its relevance to EU policy priorities under Horizon 2020.

assistant: **Impact**

Legal systems are critical for a prosper society. From individual to governmental levels, we all are involved in these systems and must deal with a series of legal documents to interact with our administrations, companies and other individuals. Legal documentation can make the difference between a perfectly operative entity and a massive failure. Since the late 90s, IT systems aimed at efficiently manage legal documentation, but they are incapable of satisfying the needs of the modern society. Indeed, up to 75% of entities still elaborate their legal documents manually, which involves several problems: (1) Massive amounts of work hours (around 120 minutes per document); (2) High costs (near €54 per document); (3) Human errors due to the inherent need for human intervention. BIGLE IBERIA S.L. co-founders have realized about this problem and have launched the company in 2016, developing a first version of Bigle Legal Software. Now the company has 18  high-skilled professionals in the legal and technology sector and it is working in the future version of Bigle Legal, which based on advanced techniques of Natural Language Processing (NLP) automates most of the work involved in creating and managing legal documents and applying Artificial intelligence (AI) understands what the document is and what the users want, leveraging much of the repetitive work and leaving them customize the resulting document to match their specific needs.  The target users will be initially Law firms, Real Estate companies and Notaries and in future stages it will be extended to in-house legal departments and individual lawyers. BIGLE IBERIA is very well known in the Real Estate and Legal sectors, having engaged relevant clients with worldwide presence. Using Bigle Legal, they will be able to comple
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 'The role of trophic factors in the guidance and maintenance of cerebellar afferents' in the context of a Fourth Framework call.

assistant: **Objectives**

The expression of neurotrophins and their trk receptors will be analyse in normal and experimentally manipulated rats. X-irradiated rats retain the immature, multiple inferior olive-Purkinje cell (IO-PC) innervation and can be studied throughout postnatal development. A localised retention of multiple IO-PC innervation can be induced by chronic application of D,L-2-amino-5-phosphonovaleric acid using Elvax implants. Neurotrophin and trk receptor expression will be detected in the 10 and cerebellum of these rats by reverse transcriptase polymerase chain reaction and in situ hybridization.  The mutant mice Lurcher (+/Lc) and Purkinje cell degeneration (pad) wil be used to study the target-dependent survival of 10 neurons. Both mutants suffer a complete loss of Purkinje cells during postnatal development (+/Lc abnormalities from P8 onwards, pad from P18) that leads to an indirect loss of 10 neurons following the loss of target. Neurotrophin(s) will be chronically applied to the cerebellum of these mutants during development using Elvax implants. IO and PC survival and morphology will be analysed in the adults.
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 'Modelling the Biochemistry of Terpene Synthases' (ModBioTerp), addressing dissemination and exploitation.

assistant: **Impact**

ModBioTerp aims to train 10 exceptional candidates in biochemistry, AI-guided enzyme modeling, laboratory-directed evolution, and synthetic biology. The focus of this project is on the natural product class of terpenoids, which are the largest and most chemically diverse class of natural products and hold immense potential for biotechnological applications. With the latest EU policy on critical technologies from September 2023, which includes biotechnology and specifically mentions synthetic biology, ModBioTerp is well-poised to address these challenges. Terpene synthases (TPSs) are the enzymes responsible for generating the structural diversity found among terpenoid natural products. These elegant enzymes mediate complex carbocation-based cyclization and rearrangement cascades with various electron-rich linear and cyclic substrates. Terpenes are abundant in plants, bacteria, and fungi, and also form the basis of all life through sterols and other very basic metabolites. The biochemistry of terpene synthases is at the core of ModBioTerp with the focus on the challenge of translating a given enzyme model into the understanding of the product profiles of terpene synthases and providing a strong product prediction tool based on the enzyme models developed. The project will explore and exploit the chemical and biological diversity of terpenoids and develop a new fundamental biochemical understanding of these enzymes, ensuring the technological leadership of Europe. With this project, we will unlock the vast potential of terpenoids and lead the way toward sustainable and innovative biotechnological solutions. In ModBioTerp 10 Doctoral candidates (DCs) will spend their research and training time in academic and industrial groups, that are global leaders in the field of terpen
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 Horizon Europe proposal for the project 'Using deep learning to understand computations in neural circuits with Connectome-constrained Mechanistic Models'.

assistant: **Objectives**

Advances in experimental techniques yield detailed wiring diagrams of neural circuits in model-systems such as the Drosophila melanogaster. How can we leverage these complex connectomes, together with targeted recordings and perturbations of neural activity, to understand how neuronal populations perform computations underlying behavior? Achieving a mechanistic understanding will require models that are consistent with connectomes and biophysical mechanisms, while also being capable of performing behaviorally relevant computations. Current models fail to address this need: Mechanistic models satisfy anatomical and biophysical constraints by design, but we lack methods for optimizing them to perform tasks. Conversely, deep learning models can be optimized to perform challenging tasks, but fall short on mechanistic interpretability.To address this challenge, we will provide a machine learning framework that unifies mechanistic modeling and deep learning, and will make it possible to algorithmically identify models that link biophysical mechanisms, neural data, and behavior. We will use our approach to study two key neural computations in D. melanogaster. We will build large-scale mechanistic models of the optic lobe and motor control circuits which are constrained by connectomes and physiological measurements, and optimize them to solve specific computational tasks: Extracting behaviorally relevant information from the visual input, and coordinating leg movements to achieve robust locomotion. Our methodology for building, interpreting and updating these `deep mechanistic models' will be applicable to a wide range of neural circuits and behaviors. It will serve as a powerful hypothesis generator for predicting neural tuning and optimizing experimental perturbations, and wi
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 how 'Planets Revealed Around Cool Stars' goes beyond current state-of-the-art under Seventh Framework.

assistant: **Innovation**

This proposal will bring the Spanish IEF from the USA to the UK to work on a project whose primary goal is to directly image extra-solar planets for the very first time. The project is leading the way with this aim, by identifying young nearby cool stars (late M and L dwarfs) in kinematically distinct ""moving groups"". The proximity, youth, and intrinsic faintness of these populations make them the best targets for planet imaging using new cutting edge adaptive optics (AO) techniques. This exciting new sample will allow Jupiter mass planets to be detected at 1AU separation (earth-Sun distance) from their host stars. The programme has alread been awarded substantial amounts of high priority observations on large telescopes, so it is ready to move forward. By employing the latest AO, and also new infrared radial velocity instrumentation (being developed by members of the supervisory team), the project also aims to reveal multiple planetary systems around cool stars, and revolutionise current understanding of planets beyond the solar system.""
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 how 'Design of Radiation-Resistant Refractory High-Entropy Alloys for Extreme Environments' goes beyond current state-of-the-art under Horizon Europe.

assistant: **Innovation**

The urgent need to combat pollution necessitates a focused reduction in CO2 emissions, positioning nuclear energy as a promising alternative to fossil fuels. The demand for advanced materials in nuclear fission and fusion power plants arises from their challenging operating conditions. While current materials are in use, there is a compelling case for exploring new alternatives that offer improved efficiency, enhanced safety, reduced waste, extended operational lifespans, high-temperature durability, and resistance to high-energy neutron irradiation. High-Entropy Alloys (HEAs) have emerged as a promising solution due to their exceptional properties and untapped compositional possibilities. Their key advantage is sluggish diffusion, which limits the movement of point defects, leading to increased recombination and mitigating hardening and swelling effects. To meet the stringent requirements of reactor environments, HEAs must also exhibit low activation properties. To tackle this challenge, our research focuses on understanding ion-irradiated single-phase HEAs under high-temperature and high-fluence conditions. We aim to uncover the underlying physics of hardening and swelling using a comprehensive suite of experimental and simulation techniques, including TEM, HR-TKD, Astar strain mapping, ACOM, nano-indentation, SIMS, XRD, AFM, micropillar tests, APT, DBS-PALS, DFT, MD, and KMC. The ultimate goal is to develop a robust screening tool with high-throughput capabilities, enabling the efficient evaluation of numerous HEA compositions. This tool will provide a foundation for tailoring HEAs to specific applications. The designed HEAs will not only withstand extreme conditions but also retain balanced mechanical properties, striking an optimal trade-off between hardness and to