Electrochemistry is an old branch of science, yet it remains poorly understood due to its complexity and cross-disciplinary nature. Over the past two decades, it has become a research frontier because electrochemical energy storage and conversion are key to global electrification and sustainable development.
This paradox underscores both the difficulty of solving outstanding problems in electrochemistry and the importance of uniting researchers from diverse backgrounds, while leveraging the most advanced tools available. Notable collaborative efforts—often combining experiment and theory—have been directed toward unraveling the microscopic structures of electric double layers at interfaces, elucidating the formation mechanisms of solid-electrolyte interphases in batteries, and understanding structure–activity relationships of catalytic materials in electrocatalysis.
The rapid development of artificial intelligence (AI) is transforming the world in many ways, including how scientific research is conducted. With the help of AI, many long-standing challenges in electrochemistry now suddenly seem within reach. While this is an exciting time, we must remain aware of the significant challenges ahead and the limitations of current AI technologies.
In this context, we invite world-leading researchers in related fields to present their recent research advances and share their perspectives on the following five key questions:
To what extent can AI-accelerated ab initio modeling of electrochemical systems bridge the gap between simulation models and experimental observations?
How far can AI push the spatial and temporal limits of state-of-the-art in situ/operando characterization techniques in probing electrochemical systems?
How can AI/robotics help close the loop of multi-level optimization of electrochemical systems, ranging from materials design, and hierarchical structure engineering to device optimization?
How can electrochemists and AI practitioners collaborate in areas such as data generation, sharing, and model training to facilitate R&D in electrochemical applications like batteries and electrocatalysis?
In what areas is AI most likely to lead to new breakthroughs and discoveries in electrochemical science and engineering?
We welcome anyone interested in these questions to participate. The symposium will be held at Xiamen University, China, from June 23rd to 25th 2025.
Invitation letter
If you require an official invitation letter to support your visa application or funding request, please don't hesitate to contact us at isaiec@xmu.edu.cn.
Registration
Registration is now open and can be completed here.
Capacity: ~100 participants. Selection reflects diversity (gender, country of origin, stage of career, etc.) and quality of submission.
Fee: No registration fee is applied.
Deadline: 20th May 2025
Abstract/Poster/Flash Talk submission
We invite you to submit the abstract for your contributed talk or poster when filling out the registration form. This will ensure that your oral presentation and poster appear in the program. Please use the attached template for abstract submission. The deadline for abstract submission is 25th May 2025. You have to be registered for the meeting in order for your abstract to be considered.
Confirmed speakers
Clare Grey, University of Cambridge, UK
Weinan E, Peking University, China
Axel Gross, Ulm University, Germany
Laurence Hardwick, University of Liverpool, UK
Yoshitaka Tatayama, Institute of Science Tokyo/National Institute for Materials Science, Japan
Hyungjun Kim, Korea Advanced Institute of Science and Technology, Korea
Qiang Zhang, Tsinghua University, China
Guang Feng, Huazhong University of Science and Technology, China
Min Zhou, Changchun Institute Of Applied Chemistry, Chinese Academy Of Sciences, China
Guanhua Chen, University of Hong Kong, China
Jun Jiang, University of Science and Technology of China, China
(more to be announced )
Organizing committee
iSAIEC chairs:
Zhong-Qun Tian and Weinan E
and organizing committee:
Jun Cheng, Linfeng Zhang, Wenjing Hong and Cheng Wang
Important days and information
Deadline for registration: 20th May 2025
Deadline for abstract submission: 25th May 2025
Final program released: 10th June 2025
Sponsors
Laboratory of AI for Electrochemistry (AI4EC Lab), Tan Kah Kee Innovation Laboratory (IKKEM).
State Key Laboratory of Physical Chemistry of Solid Surfaces (PCOSS)
College of Chemistry and Chemical Engineering (CCCE), Xiamen University
AI for Science Institute (AISI)
Contemporary Amperex Technology Co. Limited (CATL)