Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Topological synchronization of interacting bosons and Floquet engineering (BoFTISync)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: Spain
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-12-01
End date: 2026-11-30
Duration (months): 24.0
Total project cost (EUR): 165312.96
EU funding (EUR): 165312.96
Participants: 1
Project status: SIGNED

We are currently witnessing a technological revolution driven by the recent achievements in NISQ devices, which despite their imperfect controllability have already revolutionized our understanding of many-body dynamics and quantum information science. While a lot of effort is spent to minimize the undesirable consequences of dissipation, interactions with the environment can also generate useful quantum behavior. The phenomenon of synchronization is a prototypical example where dissipation is a key enabling mechanism and it only recently started to emerge in the quantum domain due to advancements in quantum technology to exquisitely adjust both the system and environmental properties. Still, inevitable imperfections -- local deformations caused by ambient conditions and long-term degradation -- may significantly alter or even destroy the desired synchronicity altogether, which ultimately constraints its pertinence for future quantum devices. Consequently, we are in the need of universal principles to promote the robustness of synchronization and facilitate its technological leap. The proposed project 'BoFTISync' addresses this task by exploiting the power of topological phases of matter, which exhibit an unusual protection from the adverse effects of impurities. With a unique interdisciplinary approach of integrating topological concepts with dynamical symmetries of interacting bosonic modes and open quantum systems, the project aims to establish topology as an innovative way to protect quantum signatures of synchronization, and at the same time opens the avenue for unexplored phenomena at the interface of these seemingly distinct research areas. This investigation is not only fundamentally interesting, but will also spark new applications in quantum technologies and information processing in NISQ platforms ranging from trapped ions to optomechanics. Thus, BoFTISync will prepare the ground for a deeper understanding on topology in open nonlinear systems.

Keywords: open quantum systems,synchronization,topological insulators,many body physics,nonequilibrium
Endophytic Fungi For pEst ConTrol (EFFECT)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: Spain
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-07-01
End date: 2026-06-30
Duration (months): 24.0
Total project cost (EUR): 181152.96
EU funding (EUR): 181152.96
Participants: 1
Project status: SIGNED

Phytosanitary products are major component of modern agriculture contributing to the substantial increase in yields and crop protection. Their accumulation in the environment presents risks to humans and living beings in front of a spectacular development of resistance to pesticides among target pests and diseases. Thereby, increasing global ecological and economic requirements tend to shift agriculture towards healthier production systems that take into account crop sustainability, environment and human health. Entomopathogenic fungi (EPF) are considered as an ecological alternative to pesticides thanks to several privileges notably their specificity of action, absence of toxic residues and spectacular genetic elasticity. Additional interesting features were recently attributed to entomopathogenic endophytes for plant protection and production. However, data published so far are variable and fail to Predict their bioecological roles accurately. Consequently, through a novel integrated research program, EFFECT will use cutting-edge experiments and analyses to disentangle and valorize the additional ecological roles of EPF in plant structure relating to systematic endophytic development and aggressor’s survival that underpin feedback mechanisms between plant and its ecosystem. The ultimate objective to be achieved is to boost the effectiveness of these micro biocontrol agents in order to make an innovative and feasible substitute to chemical insecticides. In addition to the scientific audience it may interest, the project might offer potential solutions for industrials and farmers to combat many pests and diseases whilst benefiting from ecological aspects to reduce chemical input into the environment. Accordingly, EFFECT combines multidisciplinary approaches to innovatively achieve objectives that are timely and in line with the current European and global research trends of which positive spin-offs will be achievable and measurable on different levels.

Keywords: entomopathogenic fungi,endophytes,pests control
Direct Coherent Detection Optical Transceiver (DECODE)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Transition
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: Denmark
Call: Transition Open 2024 (HORIZON-EIC-2024-TRANSITION-01, 2024)
Start date: 2025-05-01
End date: 2027-10-31
Duration (months): 30.0
Total project cost (EUR): 3571427.14
EU funding (EUR): 2499999.0
Participants: 1
Project status: SIGNED

The global data traffic within data centers is rapidly increasing due to the widespread use of digital services, cloud computing, and data-intensive applications such as AI and ML based queries, resulting in substantial energy consumption. Current transceivers used in data centers face technological limitations as they rely on complex parallelization or expensive components, hindering their ability to support higher speeds energy efficiently. Phanofi ApS offers a transformative solution to the escalating global data traffic challenges. Our patented Fano Detector technology enables utilization of intensity, phase, and polarization of light for data decoding without the need for many expensive, complex and energy intensive components required for current solutions. In our EIC Transition project, we will develop our first fully integrated Phanofi chiplet, leading to a compact & pluggable Phanofi 800G transceiver prototype. With a focus on high-speed transceivers, we will tap into a market with substantial growth potential, driven by the need to upgrade data centers and accommodate the rising demand for high-speed internet traffic. Our solution will enhance Europe's technological sovereignty in critical semiconductor and photonics sectors, reducing dependence on non-EU suppliers and position Europe at the forefront communication technologies. By enabling faster, more efficient data transmission, we support the growth of AI, machine learning, and big data analytics.

Keywords: transceivers,data centers,800g,photonics,intensity modulation direct detection imdd transceivers,coherent detection transceivers,fano resonance
Molecule-based magneto/electro/mechano-Calorics (MolCal)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Doctoral Networks
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Spain,United States,United Kingdom,Greece,Germany,France,Italy,Netherlands
Call: MSCA Doctoral Networks 2022 (HORIZON-MSCA-2022-DN-01, 2022)
Start date: 2024-01-01
End date: 2027-12-31
Duration (months): 48.0
Total project cost (EUR): 2038780.8
EU funding (EUR): 2038780.8
Participants: 13
Project status: SIGNED

MolCal will contribute to establishing a critical mass of researchers in promising exploratory topics on caloric materials and energy conversion technologies for solid-state cooling and heating applications at near-ambient and very-low temperatures. Temperature control systems are responsible for approximately half of the EU energy consumption expenditure. This figure alone amply justifies the need to dedicate great efforts to the search for alternative refrigeration and heat pump methods. Research on caloric materials has never been as active as it is now, due to the prospect of new-generation refrigerators and heat pumps that are energy efficient and environmentally friendly, on the one hand, and the policies on low-energy consumption and global warming refrigerants, on the other. MolCal presents an approach never tried before in similar collaborative research training programmes. We will consider caloric materials that fall under the umbrella of molecule-based materials and can respond to different sources of the driving stimulus, be it magnetic, electric, and/or mechanical. Since there is no clear-cut consensus on which type of caloric material holds the most promise, this multi-front approach will be an advantage because it will permit transfer of methods already developed from the magnetocaloric subfield into the others, which are increasingly in the spotlight because of their enormous potentiality. Furthermore, MolCal will develop devices based on low-cost barocaloric materials and, due to the molecular characteristics, will progress towards challenging applications by exploring the limits of the smallest size of magnetic refrigerators. Academic and non-academic leaders, from top research institutions in Europe and outside, will expose the doctoral researchers to integrative, multidisciplinary, and multisectoral training in chemistry, materials science, physics, device development, and relevant transversal skills.

Keywords: caloric materials,molecule based materials,molecular,magnetocaloric,electrocaloric,elastocaloric,barocaloric,magnetism,solid state cooling and heating
Twinning for Excellence in Adaptive Edge AI (AIDA4Edge)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Destination: Improved access to Excellence
Action type: Coordination and support actions
Panel: Information Science and Engineering
Countries involved: Serbia,Germany,Italy,United Kingdom
Call: Twinning Bottom-Up (HORIZON-WIDERA-2023-ACCESS-02, 2023)
Start date: 2024-10-01
End date: 2027-09-30
Duration (months): 36.0
Total project cost (EUR): 1198362.5
EU funding (EUR): 1198362.5
Participants: 4
Project status: SIGNED

The main goal of AIDA4Edge is to strengthen networking between the Coordinator (FEEUNI) and the advanced partners (IHP, UoM and UNIFE) from European institutions in order to enable FEEUNI to reach scientific and innovation excellence in the field of Edge AI (Artificial Intelligence). Fundamental and thriving research will tackle the issue of bringing complex AI algorithms to Edge devices with resource constrains in terms of memory, processing power, energy consumption and latency. To meet this challenge, the synergy of expertise of all partners will be exploited and an adaptive AI-enabled edge computing pipeline will be developed. UNIFE will contribute with the expertise in the field of optimization and tuning hyperparameters of ANN (Artificial Neural Network) utilizing probabilistic logic. IHP will be in charge of exploiting the advantages brought by multi-core AI accelerators in terms of power consumption and reliability. UoM will leverage the synergies between bio-inspired SNNs (Spiking Neural Networks) and ANNs, to maintain the accuracy of conventional ANNs and to exploit the input data sparsity through the asynchronous computational capabilities of bio-inspired SNNs. FEEUNI will bring the expertise in quantization, important for ANN compression and resource saving. By the knowledge transfer and the exchange of the best practice, networking will provide FEEUNI all knowledge it lacks. It will enable FEEUNI not only to empower research capacity, but also to become the center of excellence in the field of Edge AI and to raise the reputation and enhance research management capacities and administrative skills. This will strengthen and encourage FEEUNI team (with a lot of women involved) to apply to variety of new research calls and to boost progress in science and economy in Serbia and beyond, reducing the imbalance of research capabilities between developed European countries and Serbia.

Keywords: edge ai compression of neural network quantization artificial neural networks resource constrained edge devices
OPEN INNOVATION PLATFORM FOR OPTIMISING PRODUCTION SYSTEMS BY COMBINING PRODUCT DEVELOPMENT, VIRTUAL ENGINEERING WORKFLOWS AND PRODUCTION DATA (PIONEER)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Industry
Destination: Increased Autonomy in Key Strategic Value Chains for Resilient Industry
Action type: Innovation actions
Countries involved: Spain,Italy,Egypt,Germany,Greece,Belgium,Netherlands,United Kingdom,Poland,Türkiye,France
Call: Optimised Industrial Systems and Lines through digitalisation (IA) (HORIZON-CL4-2022-RESILIENCE-01, 2022)
Start date: 2023-01-01
End date: 2025-12-31
Duration (months): 36.0
Total project cost (EUR): 5188829.09
EU funding (EUR): 4415708.74
Participants: 18
Project status: SIGNED

Nowadays, European manufacturing enterprises are facing a number of challenges in a turbulent globalized market facing unprecedented and abrupt changes in market demands, an ever-increasing number of product variants and smaller lot sizes, intensifying the worldwide competition and causing a continuous pressure on production costs, product quality and production efficiency. Therefore, novel product development strategies for ensuring and optimising the manufacturing of new products or variants in low-volume production systems must be implemented. PIONEER aims the development of an open innovation platform and interoperable digital pipeline for addressing a design-by-simulation optimisation framework. For that, PIONEER implements inline feedforward control strategies for enhancing the efficiency of the industrial systems in high-mix/low-volume production schemes, based on the connection between materials modelling and materials characterisation, simulation-based digital twins and data-driven models, updated through distributed production data from embedded IoT edge devices and product quality. PIONEER is built over five pillars for development a common methodology deployed in two demonstrators by involving multidisciplinary optimisation for ensuring certified path planning strategies for the manufacturing of topology optimised structural elements through Wire-Arc Additive Manufacturing (WAAM) in construction –i.e., low-volume production schemes–, as well as for ensuring an efficient design and manufacturing strategy for the manufacturing of Carbon Fibre Sheet Moulding Compound (CF-SMC) components in automotive –i.e., high-mix production schemes–. PIONEER is built on the knowledge and results gained in i) previous H2020 EU projects; ii) associations –i.e. EMMC ASBL, IOF, VMAP Standard Community, IDTA—; and iii) commercial products from project partners.

Keywords: open innovation platform,virtual engineering workflows,materials modelling and materials characterisation,data driven optimisation algorithms,feedforward control,simulation based digital twins
Agile and modular cyber-physical technologies supported by data-driven digital tools to reinforce manufacturing resilience (ONE4ALL)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Industry
Destination: Climate neutral, Circular and Digitised Production
Action type: Research and Innovation actions
Partnership: Made in Europe (co-programmed)
Countries involved: Spain,Ireland,Italy,Greece,Denmark,Portugal,Germany
Call: Excellence in distributed control and modular manufacturing (Made in Europe Partnership) (RIA) (HORIZON-CL4-2022-TWIN-TRANSITION-01, 2022)
Start date: 2023-01-01
End date: 2026-12-31
Duration (months): 48.0
Total project cost (EUR): 5999206.25
EU funding (EUR): 5999206.25
Participants: 12
Project status: SIGNED

ONE4ALL aims to boost manufacturing plants’ transformation, especially SMEs, towards industry 5.0 (I5.0), reinforcing their resilience under unexpected changes in social needs. It is done through a human-and-sustainability-centred development of plug-and-produce reconfigurable cyber-physical production modules (RCPMs). Those will consist of self-reconfigurable mobile collaborative robots embedded with IIOT devices for real-time monitorisation and interconnectivity. In addition, the physical modules and the processes addressed by those will be replicated digitally through data-driven digital twins and controlled by a self-learning AI-based distributed and multidisciplinary decision support system (DSS). In addition, the open-source approaches will be promoted throughout the whole project to ease the interoperability of the components. All in all, interconnected and efficiently managed by an intelligent orchestration platform, with defined modules interfaces for the RCPM, production, product quality, sustainability aspects, business model, DSS and help desk to involve the end-user in everything that is going on across the whole supply chain, improve the understanding and assess the decision making. An adaptive training programme for digital upskilling will be implemented over the entire project to prepare the workforce for the I5.0 transformation and fully exploit the potential of the technologies. The resilience of manufacturing operations will be enhanced by better anticipating the demand changes and providing more flexibility to act, thanks to the digital tools and modular and flexible structure integrated within the whole system. The potential of ONE4ALL will be demonstrated in two relevant environments from different sectors (agri-food and pharmaceutical), both highly affected by disruption given their high and fluctuant demand and not fully impacted yet by I5.0 transformations. Consequently, it is expected to have a high impact and replicability opportunities.

Keywords: modularity,flexibility,robotics,sustainability,digital twins,decision support system,distributed control,interoperability,services orchestration,open source,pharmaceuticals,agri food
Empowering Radiologists in Cancer Diagnostics with Artificial Intelligence (BMAI)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: Estonia
Call: EIC Accelerator Open 2023 (HORIZON-EIC-2023-ACCELERATOR-01, 2023)
Start date: 2024-01-01
End date: 2025-12-31
Duration (months): 24.0
Total project cost (EUR): 3571250.0
EU funding (EUR): 2499875.0
Participants: 1
Project status: SIGNED

There is already a major shortage of radiologists who analyse CT scans for cancer diagnostics. Radiologists spend too much time on manual and repetitive tasks, such as manually measuring lesions, using inadequate tooling. As the incidence of cancer is expected to grow 27.4% over the next 10 years (according to WHO), the pressure on radiologists will only increase, leading to misdiagnosis or delay in diagnosis with potentially fatal consequences. With Better Medicine Artificial Intelligence, the time radiologists spend on interpreting cancer-related CT scans is reduced by 40-60% by automating a range of repetitive tasks to significantly streamline workflows. We help reduce the shortage of radiologists, while saving lives with timely and accurate diagnostics. Our solution is the first AI-powered tool for radiologists that takes the full-body approach and enables dynamic assessment of tumours, overcoming the biggest shortcomings of current offerings on the market.
Creation of the centre of excellence in smart forestry (Forest 4.0)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Destination: Improved access to Excellence
Action type: Coordination and support actions
Countries involved: Lithuania,Sweden
Call: Teaming for Excellence (HORIZON-WIDERA-2022-ACCESS-01-two-stage, 2022)
Start date: 2023-05-01
End date: 2029-04-30
Duration (months): 72.0
Total project cost (EUR): 9900000.0
EU funding (EUR): 9900000.0
Participants: 7
Project status: SIGNED

The overall objective of the FOREST 4.0 project is to establish a Centre of Excellence (CoE) to transform the forest environment monitoring, data acquisition, and analysis, and capture value from the collected data by implementing innovations based on artificial intelligence (AI) and the Internet of Things (IoT). The CoE will be founded by two Lithuanian partners (Vytautas Magnus University - VMU) and Kaunas University of Technology - KTU) teaming with a leading counterpart from Sweden (Linnaeus University - LNU) and three networking and business development partners (InteriorCluster from Sweden, ART21 UAB and AgriFood Lithuania Digital Innovation Hub from Lithuania). The CoE will be created as a new legal entity and will comprise leading researchers from different domains that will implement an ambitious long term research and innovation strategy. The CoE will also provide innovation services to businesses and host a startup incubator. The impact of the project will be a rise in research excellence and reputation in forestry management and AI/IoT technologies for Lithuania; the constitution of a critical mass of excellent international researchers in the targeted domains; the production of a growing amount of research (publications) and innovation (patents, new technologies, startups) outputs; and expanding international networks for the Lithuanian partners.

Keywords: forest,wood,tree,artificial intelligence,internet of things,forestry management