Solid-state battery breakthrough promises 50% more range in one charge

Researchers from Skolkovo Institute of Science and Technology (Skoltech) and the AIRI Institute have achieved a significant breakthrough in solid-state battery technology by using machine learning to accelerate the discovery of high-performance battery materials. Their innovation could enable electric vehicles (EVs) to travel up to 50% farther on a single charge while improving safety and battery lifespan. The team employed graph neural networks to rapidly identify optimal materials for solid electrolytes and protective coatings, overcoming a major hurdle in solid-state battery development. This approach is orders of magnitude faster than traditional quantum chemistry methods, enabling quicker advancement in battery design. A key aspect of the research is the identification of protective coatings that shield the solid electrolyte from reactive lithium anodes and cathodes, which otherwise degrade battery performance and increase short-circuit risks. Using AI, the team discovered promising coating compounds such as Li3AlF6 and Li2ZnCl4 for the solid electrolyte Li10GeP2S12, a leading candidate material. This work not only enhances the durability and efficiency of solid-state batteries but also paves the way for safer, more durable, and higher-performing EVs and portable electronics, potentially reshaping the future of energy storage.