AI-Guided Design and Optimization of Graphite-Based Anodes via Iterative Experimental Feedback

In three linesIterative AI workflow optimizes graphite-based anodes through sequential learning and experimental feedback loops. Citrine Platform generates surrogate models and refines manufacturing constraints. Results: fabrication reliability improved from frequent failures to 100% success, cells ≥350 mAh/g increased from 28.4% to 84.8%, capacity retention rose from 42.1% to 97.3%.

Summary generated by Claude — human-verified