- All
- 2026-09-01 [Tuesday]
- 2026-09-02 [Wednesday]
- 2026-09-03 [Thursday]
- 2026-09-04 [Friday]
- All
- In Situ/Operando Characterization
- Battery and Energy Storage
- Analytical and Biological Electrochemistry
- AI for Electrochemistry — Part II: Theory, Interfaces & Spectroscopy
- Electrocatalysis and Energy Conversion
- AI for Electrochemistry — Part I: Materials, Data & Applications
- Molecular Electrochemistry and Electrosynthesis
- Cross-cutting: Electrocatalysis, AI & Interfaces
- All
- Science and Arts Center on the Siming Campus of Xiamen University
- Main Hall (Concert Hall)
- Session Room 1 (Conference Room 1)
- Session Room 2 (Conference Room 4)
- Exhibition Hall
2026-09-04 (Friday)
AI for Electrochemistry — Part II: Theory, Interfaces & Spectroscopy
Session Room 1 (Conference Room 1) (UTC+8)
| NO. | Beijing Time (UTC+8) | Type | Presentation Topic | Speaker | Affiliation / Organization |
|---|---|---|---|---|---|
| 1 | 08:30-08:55 | Keynote |
Molecular Modeling of Nanoconfined Electrical Double Layers |
Guang Feng | Huazhong University of Science and Technology |
| 2 | 08:55-09:15 | Invited |
Electrochemical Free Energy Barriers from ab-initio-based Enhanced Sampling |
Elias Diesen | Fritz Haber Institute of the Max Planck Society |
| 3 | 09:15-09:35 | Invited |
Artificial Intelligence Design of Lithium Battery Electrolyte |
Xiang Chen | Tsinghua University |
| 4 | 09:35-09:45 | Oral |
Theory of Localized Surface Plasmon Resonance at Electrochemical Interfaces: Effects of Chemisorption and Ligands |
Lulu Zhang | Forschungszentrum Juelich |
| 5 | 09:45-09:55 | Oral |
Atomistic Insights into Electric Double Layers and Space-Charge Layers at Charged Interfaces |
Jiale Ma | Sun Yat-sen University |
| NO. | Beijing Time (UTC+8) | Type | Presentation Topic | Speaker | Affiliation / Organization |
|---|---|---|---|---|---|
| 1 | 10:10-10:35 | Keynote |
Macroscopic Electrostatics in Machine Learning Potentials for Electrochemical Interfaces |
Mira Todorova | Max Planck Institute for Sustainable Materials |
| 2 | 10:35-10:55 | Invited |
AI-Empowered Decoding of Material Structures: A New Paradigm for X-ray Absorption Spectroscopy Analysis Based on Deep Learning Frameworks |
Fujie Tang | Xiamen University |
| 3 | 10:55-11:15 | Invited |
AI-Accelerated Modeling of Electrochemical Reactions |
Pengfei Ou | National University of Singapore |
| 4 | 11:15-11:25 | Oral |
Sequential And Conditional Geometric Equivalence Framework For Fast Porous-Electrode Simulation In Lithium-Ion Batteries |
Mengzhen Zou | Tsinghua University |
| 5 | 11:25-11:35 | Oral |
Crystallographic Orientation Control via Solvation Reconstruction Suppresses Zinc Hydroxide Sulfate Formation for Ultra-Stable Zinc Anodes |
Hao Yan | Fuzhou University |
| 6 | 11:35-11:45 | Oral |
NMRPeak: A Ready-to-Use Intelligent System for Molecular Structure Elucidation Enabled by Synergistic Cross-Modal Learning |
Fanjie Xu | Xiamen University |
