Figure 1 (IMAGE)

Advanced Institute for Materials Research (AIMR), Tohoku University

Figure 1

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Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces, and robust mechanical properties for better solid‐state batteries.

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Eric Jianfeng Cheng et al.

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