Objective
BATMAT will deliver a proof-of-concept, closed-loop machine-learning platform that makes high-fidelity, first-principles screening of battery materials practical for industrial decision cycles. Battery R&D is increasingly constrained by late discovery of instability, slow ion transport, or reactive interfaces, i.e. failure modes that often require expensive electronic-structure simulations under realistic conditions (defects, diffusion pathways, interphases). Building on algorithms and software foundations developed in the ERC Advanced Grant FITMOL, BATMAT will integrate next-generation machine-learning force fields with an accuracy-anchored reference layer based on advanced electronic-structure methods (e.g. hybrid DFT with many-body dispersion, PBE0+MBD-NL. The platform will automate (i) exploration of configurational space for bulk materials, doped/defective structures, and model interfaces, (ii) uncertainty-aware selection of candidates and (iii) escalation to high-accuracy calculations for ranking by stability, transport and interfacial reactivity.
Over 18 months, BATMAT will (1) build an alpha platform, (2) validate it on prototypical systems with experimental transport/stability data and high-accuracy references, targeting ~100× acceleration at decision-grade fidelity and (3) prepare commercialization through IP/FOSS clearance, an end-user license framework, market analysis and a business strategy. BATMAT aims to advance the technology from TRL 2 to TRL 4 and to position a follow-on EIC Transition project for scale-up and market entry.
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. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences software
- natural sciences computer and information sciences artificial intelligence machine learning
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.1 - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-ERC-POC - HORIZON ERC Proof of Concept Grants
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2026-POC
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
4365 ESCH-SUR-ALZETTE
Luxembourg
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.