Tuning catalyst reaction environments towards photoreforming of wastewater

Hydrogen fuel produced from water splitting has the potential to replace fossil fuels in a sustainable economy. However, Australia's supply of clean water is vulnerable to droughts and may worsen due to climate change. To address this, this project aims to produce higher-value organics and hydrogen fuel from a more accessible and sustainable water resource, namely wastewater. The project will use high-throughput computation and active machine learning to screen multifunction-integrated photocatalysts efficiently. By designing catalyst reaction environments to tailor surface active reaction units, the project will develop triple-functions from one zero-emission process based on the photoreforming of wastewater. This will result in selective organic synthesis and hydrogen fuel production while suppressing carbon dioxide evolution.The project will leverage Australia's abundant solar resour