QunaSys has joined the FULL-MAP project, a European Union-funded initiative with a budget of €19.95 million ($20.91 million USD), aimed at revolutionizing battery technology through AI, big data, autonomous robotics, and quantum computing. Coordinated by Vrije Universiteit Brussel (VUB), the project brings together 32 organizations to accelerate the discovery of sustainable battery materials. QunaSys will leverage its expertise in quantum machine learning to enhance simulations of electrolytes, anodes, and cathodes, enabling more efficient material discovery for next-generation batteries.

The project focuses on developing a Materials Acceleration Platform (MAP) that integrates AI, high-throughput experimentation, and quantum-assisted multiscale simulations. QunaSys’s role includes improving the accuracy of atomic-scale modeling, optimizing battery interfaces, and addressing computational bottlenecks in understanding ionic transport and degradation processes. These efforts aim to shorten the battery material discovery cycle and improve the efficiency of energy storage solutions.

This collaboration supports the European Union’s goals for sustainable energy storage, targeting applications in electric vehicles and renewable energy. By combining quantum computing with AI-driven workflows, the project seeks to reduce development timelines and improve the efficiency of energy storage solutions.

For more details, visit the original announcement by QunaSys here, the Grant Summary here, and the Press Release by VUB here.

March 5, 2025

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