Combined Experimental and Kinetic Modeling Study of Thermal Decomposition of Deha: Formation of NO and HCN

In the era of Industry 4.0, thanks to the availability of big data and computational capabilities, the chemical process industry is embracing broad adoption of artificial intelligence (AI) and machine learning (ML) methods. In this talk, we offer a holistic view of how AI transforms chemical process industry at scale. We start by presenting a historical perspective on how chemical process industry developed and adopted computer-aided decision-making tools to synthesize, design, optimize, and control process systems. Next, we highlight some of the state-of-the-art R&D efforts and applications in AI that address critical problems in chemical process industry, including predictive analytics (e.g., material properties prediction and new material discovery), process monitoring and quality/safety assurance (e.g., fault detection and diagnosis), as well as process optimization and control (e.g., supply chain optimization, optimization of batch and continuous manufacturing processes). Finally, we envision the ever-growing role AI can play in chemical process industry in the future and discuss how the industry should reshape its culture to prepare for this trend.