“AI-Driven Process Intensification and Optimization in Chemical Engineering:

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This overview explores the integration of AI in process intensification, focusing on enhancing energy efficiency, yield, and safety. It highlights the use of digital twins for predictive control, illustrated by a case study demonstrating significant energy savings. The implementation roadmap emphasises the importance of validating models with engineers, addressing safety and governance, and initiating with a measurable pilot project to ensure effective application.