There is still a need to discover cheap, active catalysts for the hydrogen evolution reaction (HER). This study aims to massively increase the screening rate of catalysts by using parallel computational analysis and a high throughput experimental setup to find active bimetallic catalysts for HER. High throughput experiments are the initial screening tool that generates composition dependent data for a range of concentration variations of different bimetallics. After developing a data structure and pipeline for consistent and efficient data handling, the data is aggregated and analyzed to make inter and intra experiment analysis possible. This study has allowed for the categorization of 31 bimetallic systems based on the presence of constructive or destructive bimetallic interactions on catalytic activity. Current findings have led to the identification of in situ colloidal nanoparticle formation and their crucial role in  these heterogeneous photocatalytic systems.

Data-driven discovery of light activated hydrogen evolution catalysts

ACS Spring Meeting 2021

The official archive and repository for all ACS Meetings & Expositions abstracts and select posters or presentations.