Episode 22: Cement clinker phases predicted with ML model

In this podcast episode, MRS Bulletin’s Laura Leay interviews Anoop Krishnan from the Indian Institute of Technology in New Delhi, India, about a machine learning model developed after a two-year period of collecting data from the cement industry, supported by the Cement and Concrete Research Network. Krishnan’s work resulted in a model that predicts the alite, belite, and ferrite content in the clinker produced by a given cement plant. These phases control cement quality and give strength to the cement over different curing times. This work was published in a recent issue of Communications Engineering.