32 Partners
2025-2029
20M€
Why FULL-MAP is Important
Battery technology is crucial for reducing carbon emissions and moving away from fossil fuels. FULL-MAP addresses the need for faster development of ultra-high-performance, durable, safe, sustainable, and cost-effective batteries by revolutionizing the discovery, development, and design processes through an integrated AI-driven approach.
Objectives
Develop an interoperable data infrastructure for battery materials and interfaces
Develop versatile toolkits for inverse design and scale-bridging models using AI and Machine Learning
Advance analytics methods and automated high-throughput characterization technologies
AI and Batteries?
- FULL-MAP integrates AI to accelerate materials discovery and optimize battery performance
- AI is used for inverse design, predicting material properties, and automating synthesis
- The project aims to improve prediction accuracy by 25% and reduce material property prediction time by 40% using AI
Funded by
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 101192848.