Machine Learning-Assisted Design of Cathode Materials for Lithium-Sulfur Batteries derived from Metal-Organic Framework

Designing cathode materials is crucial for developing advanced Li-S batteries, but conventional trial-and-error methods are time- and resource-intensive. This study employs machine learning (ML) with feature analysis, data augmentation, and...