The PrISMa project aims to accelerate the transition of energy and industrial sectors to a low-carbon economy by developing a technology platform to tailor-make cost-efficient carbon capture solutions for a range of different CO2 sources and CO2 use/destinations.
PrISMa researchers have developed a machine learning approach to accurately predict potentially harmful amine emissions from carbon capture plants. The
PrISMa team is advancing the possibilities around novel materials including MOFs toward accelerating the deployment of carbon capture technologies through