Project description
Accelerating the future of battery innovation
The slow pace of battery innovation has hindered efforts to address global carbon emissions, especially in transportation, energy, and industrial sectors. Traditional research methods, based on trial and error, typically result in long development cycles, often taking a decade to optimise new materials. This reliance on sequential processes impedes rapid progress in creating more efficient and sustainable batteries. To accelerate change, a more efficient approach to battery development is urgently needed. The EU-funded FULL-MAP project will create an advanced materials acceleration platform. Through automation, AI-driven modelling, and high-throughput testing, it will enable faster, smarter discovery of next-generation materials and interfaces, significantly advancing sustainable battery technology.
Objective
Battery technology emerges as a key solution for cutting carbon dioxide emissions across transportation, energy, and industrial sectors. Nonetheless, traditional research methods for developing new battery materials have typically depended on an Edisonian approach, characterised by trial and error, where each phase in the discovery value chain is sequentially reliant on the successful execution of preceding steps. Development and optimization of novel batteries is a process that spanned around a decade. To face this challenge, it is necessary to accelerate the discovery and optimization of next-generation batteries through the development of materials and interface acceleration platforms. The FULL-MAP project aims to revolutionize battery innovation by developing a materials acceleration platform that amplifies human capabilities and expedites the discovery of new materials and interfaces. This pivotal initiative focuses on automating laboratory operations and conducting fast, high-throughput experiments. It integrates AI and machine learning-accelerated multi-scale and multi-physics modeling, supporting intelligent decision-making. FULL-MAP's comprehensive, modular approach encompasses the inverse design of materials, autonomous orchestrated production via both traditional and novel synthesis routes, and extensive high-throughput characterization methods. These methods span ex-situ, in-situ, operando, on-line, and post-mortem analyses at various levels, from material to cell assembly and testing. It simulates the entire battery development process, from material design to battery testing, considering environmental and economic factors. By integrating computational and experimental methods with AI, Big Data, Autonomous Synthesis, and High-Throughput Testing, FULL-MAP aims to fast-track the development and deployment of next-generation materials and batteries, significantly advancing sustainable battery technology.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural scienceschemical scienceselectrochemistryelectric batteries
- natural sciencescomputer and information sciencescomputational sciencemultiphysics
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Programme(s)
Funding Scheme
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinator
1050 Bruxelles / Brussel
Belgium
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Participants (30)
3150 TILDONK
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
2400 Mol
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40211 Dusseldorf
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3000 Leuven
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3001 Leuven
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3001 Leuven
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52062 Aachen
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02150 Espoo
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845 11 Bratislava
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31100 Toulouse
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
7093 Trondheim
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
40237 DUSSELDORF
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28033 Madrid
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
M4 4BT MANCHESTER
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
SW7 2AZ LONDON
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28199 Bremen
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20500 Mondragon
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80686 Munchen
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1210 Wien
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38000 Grenoble
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5651 GG Eindhoven
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627 00 Brno
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33840 Tampere
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
2200 København N
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
48149 MUENSTER
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TS10 4RF Redcar Cleveland
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164 40 Kista
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
11060 Beograd
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8020 GRAZ
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80333 Munchen
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Partners (1)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
2000 Neuchatel
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