Battery Electrolyte

Battery electrolyte research focuses on optimizing electrolyte formulations to enhance battery performance, particularly energy density and charging speed. Current efforts leverage machine learning, employing diverse architectures like graph neural networks, transformers, and Kolmogorov-Arnold networks, to predict electrolyte properties (e.g., ionic conductivity, Coulombic efficiency) and guide the design of new electrolytes through high-throughput screening and robotic experimentation. These advancements accelerate the discovery and optimization of electrolytes, leading to improved battery technologies for various applications.