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Active HORIZON European Commission

FULLy integrated, autonomous & chemistry agnostic Materials Acceleration Platform for sustainable batteries

€19.95M EUR

Funder European Commission
Recipient Organization Vrije Universiteit Brussel
Country Belgium
Start Date Feb 01, 2025
End Date Jan 31, 2029
Duration 1,460 days
Number of Grantees 32
Roles Participant; Associated Partner; Coordinator
Data Source European Commission
Grant ID 101192848
Grant Description

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.

All Grantees

Daikin Chemical Europe Gmbh; Universitaet Muenster; Vlaamse Instelling Voor Technologisch Onderzoek N.V.; Ait Austrian Institute of Technology Gmbh; Verkor; Ceramic Powder Technology As; Solvionic; Csem Centre Suisse D'Electronique Et de Microtechnique Sa - Recherche Et Developpement; Imperial College of Science Technology and Medicine; Max-Planck-Institut Fur Nachhaltigematerialien Gmbh; Centre for Process Innovation Limited Lbg; Rheinisch-Westfaelische Technische Hochschule Aachen; Teknologian Tutkimuskeskus Vtt Oy; Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev; R2M Solution Spain Sl; Interuniversitair Micro-Electronica Centrum; Cellife Technologies Oy; Vrije Universiteit Brussel; Cellerate Limited; Siemens Industry Software Nv; Qunasys Denmark Aps; Excillum Ab; Thermo Fisher Scientific (Bremen) Gmbh; Varta Innovation Gmbh; Institut Mihajlo Pupin; Fei Electron Optics Bv; Thermo Fisher Scientific Brno Sro; Centrum Pre Vyuzitie Pokrocilych Materialov Slovenskej Akademie Vied; Katholieke Universiteit Leuven; Siemens Aktiengesellschaft; Novali; Ikerlan S. Coop

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