Sheikh Junaid Fayaz and colleagues develop high-fidelity machine learning models that predict clinker phases using industrial cement plant data. This approach can enable real-time optimization of clinker quality, potentially reducing industrial waste, improving product quality, and lowering carbon emissions.
- Sheikh Junaid Fayaz
- Néstor Montiel-Bohórquez
- N. M. Anoop Krishnan
