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This assessment focuses on lithium metal batteries (LMBs), evaluating their advantages, industry significance, and challenges such as safety and dendrite formation. It explores fundamental issues like SEI dynamics, electrochemical processes, and gaps in predictive modelling, proposing a framework for integrating NMR analysis and machine learning classifiers. Supported by key empirical data, the framework identifies and mitigates failure risks, with implications for improved battery...