Applied AI Techniques in the Process Industry: From Molecular Design to Process Design and Optimization

Thorough discussion of data-driven and first principles models for energy-relevant systems and processes, approached through various in-depth case studies

Applied AI Techniques in the Process Industry identifies and categorizes the various hybrid models available that integrate data-driven models for energy-relevant systems and processes with different forms of process knowledge and domain expertise. State-of-the-art techniques such as reduced-order modeling, sparse identification, and phys...