“Agentic Assistant for Materials Scientists,” by Ruozhu Feng, Yangang Liang, Tianzhixi Yin, Peiyuan Gao, and Wei Wang (ECS Interface 34(2), June 2025), is one of the year’s most-read feature articles. This innovative work showcases the potential of large language models (LLMs) as autonomous yet scientifically rigorous collaborators in materials science. By blending AI-driven function calling with experimental and computational tools, the authors pioneer a future where scientific inquiry gains speed and sophistication. It’s no surprise that this article has resonated widely—offering both a thought-provoking vision and concrete methods for the emerging age of agentic scientific automation.
The Electrochemical Society Interface is an authoritative yet accessible publication for those in the field of solid state and electrochemical science and technology. Published quarterly, this four-color magazine contains technical articles about the latest developments in the field and presents news and information about and for members of ECS.