A Data‐to‐Interface Framework for AI‐Guided Sodium‐Ion Battery Materials Discovery: From Descriptors to Full‐Cell Decisions
Gang Chen, Hongyang Zhao, Junfeng Li et al.
2026 · Advanced Functional Materials
ABSTRACT For sodium‐ion batteries (SIBs), the central obstacle to artificial intelligence (AI)‐guided discovery is not simply data volume or algorithm choice, but the conditional nature of electrochemical labels. Capacity, voltage, initial Coulombic efficiency (ICE), rate capability, and retention depend on synthesis, disorder, electrolyte, interphase, and cell format rather than composition alone. Existing SIB and AI‐battery reviews are commonly organized by material class, value chain, or chemistry, but they rarely explain how a prediction becomes a defensible cell‐level decision. This revi…
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