Project Details
Description
This project explores a scalable approach to waste-to-hydrogen production by integrating machine learning with anion exchange membrane (AEM) electrolysis. Using a fully functional AEM cell stack, we will evaluate waste-derived electrolytes, assess membrane durability, and apply AI models to refine system performance. The project also includes the development of a user-friendly AI interface to support wider adoption and commercial deployment of circular hydrogen technologies.
| Status | Not started |
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