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This paper introduces a dialogue-driven framework for intelligent simulation of power systems, aiming to alleviate operator workload. It combines human and AI interaction to regulate power grids effectively. The prototype system enhances operator efficiency and usability, suggesting potential for broader applications in human-AI collaboration in engineering.

A Se3P4@mesoporous carbon composite has been developed as a high-performance anode for potassium-ion batteries, addressing the lack of suitable anodes that hamper practical application. The composite exhibits high reversible initial capacity and stable cycling performance, making it a promising candidate for advanced potassium-ion batteries.