AI-driven battery research

Batteries have become indispensable to modern energy systems. However, understanding and accelerating their development remains a challenge. Battery research involves high-dimensional data and vast chemical spaces that are difficult to fully explore through experiments alone. Thus, AI(artificial intelligence) is a powerful tool to complement traditional investigation. We extract meaningful features from electrochemical signals to predict capacity and lifetime, and identify key molecular descriptors to efficiently navigate large chemical spaces in search of better electrolytes for lithium metal batteries. Watch us how we take on these challenges through AI-driven battery research.