Solid-state sodium-ion batteries offer safe, sustainable, and cost-efficient energy storage for stationary applications and electric vehicles. As demand for sodium-ion batteries grows, the need for advanced sodium solid electrolytes becomes critical.
The Sosoba project aims to accelerate the discovery of new solid-state electrolytes for sodium-ion batteries. These materials must combine several key properties: high ionic conductivity, excellent stability, tolerance to air, compatibility with sodium-rich anodes, low electrical conductivity, and good mechanical strength. At the same time, they should be safe, sustainable, and affordable.
To achieve this, Sosoba uses a unique screening approach. Starting from large materials databases such as Materials Project and GNoME (with over 380,000 stable compounds), the project applies generative artificial intelligence to suggest new structures with promising properties. High-throughput calculations and machine learning help narrow down candidates efficiently and accurately.
Theoretical predictions are validated through synthesis and advanced characterization, including techniques to study phase purity, chemical states, and ionic mobility. Finally, half-cell testing and battery modeling predict how these electrolytes will perform in real batteries.
By combining AI-driven design, computational modeling, and experimental testing, Sosoba aims to deliver breakthrough materials for next-generation sodium-ion batteries - supporting the green energy transition and reducing reliance on critical raw materials.