fig2

Battery material databases in the age of AI agents

Figure 2. AI-driven comparative analysis framework for lithium-ion batteries. (A) MD research; (B) multi-dimensional innovation of this research. (A) builds a knowledge base based on MD simulation research: AI agent identifies the shortcomings of current research, and performs the dynamic cycle research combined with graphite functional groups; (B) shows the experimental components that can directly make up for these deficiencies. MD: Molecular dynamics; SEI: solid-state electrolyte interface; DMC: dimethyl carbonate; EC: ethylene carbonate.