A new study from the University of Cambridge demonstrates a significant breakthrough in AI-powered battery research. Researchers developed a machine learning model that can predict the lifespan of lithium-ion batteries with 95% accuracy after just a few charge cycles, a process that traditionally requires months or years of testing. The model analyzes subtle changes in voltage during early charging to forecast long-term performance and degradation. This advancement could dramatically accelerate the development of new battery chemistries and more durable batteries for electric vehicles and grid storage, reducing both time and costs. The full research is detailed in the journal Nature Materials. Read the full article at: https://sciencedaily.com/releases/2023/10/231012134522.htm