2025 Spring Meeting and 21st Global Congress on Process Safety
Session: Hybrid Modeling - Combining AI / ML with Fundamental Knowledge
Advancements in AI and ML have enabled significant progress in the ability to model complex data stemming from chemical industry operations. However, unlike many others domains, data from manufacturing processes is embedded with rich structure due to fundamental principles that govern the scientific principles. This session encourages submissions which demonstrate the integration of fundamental knowledge and understanding in the AI/ML training and application workflow to enhance the model robustness.
Chair
Benoit Celse, IFPEN
Co-Chair
Fani Boukouvala, Georgia Institute of Technology