This AI model finds low-emission cement in milliseconds

This AI model finds low-emission cement in milliseconds

Researchers at the Paul Scherrer Institute (PSI) developed a machine learning model to optimize cement formulations, aiming to reduce carbon dioxide (CO₂) emissions while maintaining mechanical performance through a novel modeling approach. The carbon footprint of cement Cement production involves heating ground limestone to 1,400 degrees Celsius in rotary kilns to produce clinker, the primary raw material for cement. This process is energy-int…