High Throughput Detection of Onset Potentials of HER Electrodes by an Optical Polarization Imaging Method
Efficient hydrogen production through water electrolysis relies on catalytic electrodes with low onset potentials and uniform activity. This study presents an optical polarization imaging technique for real-time, in situ mapping of the activity distribution on catalytic electrode surfaces during the hydrogen evolution reaction (HER) in water electrolysis. By monitoring changes in the degree of polarization (DoP) of the reflected light during bubble formation on the electrode surface, this technique quantitatively analyzes the hydrogen evolution activity. The results demonstrate that our imaging approach provides direct visualization of surface activity heterogeneity, offering critical insights into structure-performance relationships. Coupled with high-throughput screening, electrodeposition time is systematically correlated with electrode efficacy, significantly enhancing the efficiency of the screening process. By bridging the gap between localized catalytic behavior and macroscopic durability challenges, this work establishes a framework for rational electrode design, advancing scalable green hydrogen technologies.
Authors
- Hao Yang Lin (ORCID: https://orcid.org/0000-0001-8810-3327)
- Qi Yang (ORCID: https://orcid.org/0009-0005-3198-1619)
- Siqi Li (ORCID: https://orcid.org/0000-0003-2085-4938)
- Chen Huang (ORCID: https://orcid.org/0000-0001-7145-3013)
- Dongxu Chen (ORCID: https://orcid.org/0000-0002-8854-9262)
- Le Liu (ORCID: https://orcid.org/0000-0002-6944-5417)
- Liang Tan
- Dongzhi Li
- Jingyu Xi (ORCID: https://orcid.org/0000-0002-7618-8500)
- Zengxian Fang
- Zixin Wu
Institutions
- Guangdong University of Technology (CN)
- University Town of Shenzhen (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- Small
- Published
- 2025-08-18
- DOI
- https://doi.org/10.1002/smll.202507411
- Primary Topic
- Electrocatalysts for Energy Conversion
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Shenzhen Science and Technology Innovation Program