The International Symposium of AI on Electrochemistry (iSAIEC 2023) convened at Xiamen University from November 28 to 30, 2023. This symposium was centered on the application and expansion of Artificial Intelligence for Science in Electrochemistry, with the objective of serving as an international platform for leading researchers across disciplines such as electrochemistry, artificial intelligence, physics, and mathematics to gather, share advancements and outcomes, and foster interdisciplinary collaboration.

Initiated by Laboratory of AI for Electrochemistry (AI4EC Lab) , Tan Kah Kee Innovation Lab, the symposium was co-hosted by the State Key Laboratory of Physical Chemistry of Solid Surfaces (PCOSS), the School of Chemistry and Chemical Engineering at Xiamen University, and the AI for Science Institute (AISI), Beijing.

The symposium lasted two days. It was structured around four thematic areas: Electrochemistry & AI4Sci, Machine Learning & Energy Storage, Machine Learning & Materials Simulation, and Robotics & Materials Data. There were nine plenary sessions and eleven invited talks.

On the morning of November 28th, the conference was inaugurated by welcoming addresses from Academician Zhong-Qun Tian and Academician Weinan E. The luminaries such as Academician Jun Chen, Dirac Medal laureate Roberto Car and Michele Parrinello, Nobel Prize recipient Konstantin Novoselov, alongside prominent young scholars and industry representatives from companies like CATL were invited to attend this symposium.

In order to enhance the depth of interaction in the poster presentation segment, the organizing committee introduced Flash Talks within the poster session, allowing over thirty experts to succinctly present their research progress and findings.

Reflecting on the symposium, it was noted that "AI is rapidly evolving but still in its infancy, and we believe it can inject powerful momentum into electrochemistry, a science over a century old, potentially illuminating solutions to long-standing problems in the field." The successful convening of this symposium is merely the beginning; there is an aspiration to provide an even more advanced, open, and purely academic international exchange platform for researchers in AI, electrochemistry, and related fields, enabling AI to play a greater role in addressing future challenges in the electrochemical domain.