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Artificial Intelligence in Chemical Engineering

  • Book

  • June 2025
  • Elsevier Science and Technology
  • ID: 6042257
Artificial Intelligence in Chemical Engineering explores the integration of artificial intelligence (AI) into various facets of chemical engineering. The book introduces historical information, highlights current state and trends in AI applications, and discusses challenges and opportunities within the field. Foundational principles of AI and machine learning are thoroughly covered, giving readers a solid understanding of basic AI principles, machine learning algorithms, and the crucial processes of model training and validation. The book then delves into the critical phase of data acquisition and preprocessing for AI models, addressing strategies for data collection, ensuring data quality, and techniques for feature engineering and selection.

Subsequent chapters cover a wide spectrum of AI applications in chemical engineering. From supervised and unsupervised learning for process modeling to the advanced realm of deep learning applications, this book explores neural networks, convolutional and recurrent architectures, and their real-world applications in process optimization and analysis.

Table of Contents

1. Introduction to Artificial Intelligence in Chemical Engineering
2. Fundamentals of Artificial Intelligence and Machine Learning for Chemical Engineers
3. Data Acquisition and Integration in AI Applications
4. Predictive Modeling and Process Optimization
5. Control Systems and Decision Support with AI
6. Real-time Decision Support Systems in Process Industries
7. AI Applications in Chemical Reaction Engineering
8. AI in Process Safety and Risk Management
9. AI in Sustainable and Green Processes
10. Sustainable Manufacturing and Green Chemistry with AI
11. AI for Energy Efficiency and Renewable Integration
12. Smart Manufacturing and Industry 4.0 Integration
13. AI in Quality Control and Product Development
14. Advanced Process Monitoring and Predictive Maintenance with AI
15. Human-AI Collaboration in Chemical Engineering
16. AI in Chemical Education and Training
17. AI for Regulatory Compliance in Chemical Industries
18. Case Studies and Practical Implementations
19. Ethical Considerations and Challenges in AI Integration
20. Future Trends and Innovations in AI and Chemical Engineering
21. Conclusion and Outlook

Authors

Farooq Sher Assistant Professor, Department of Engineering, Nottingham Trent University, UK. Dr. Farooq Sher is Assistant Professor in the Department of Engineering at Nottingham Trent University, in the United Kingdom. He is also President of the UK-based International Society of Engineering Science and Technology (ISEST), a non-profit independent organization of scientists, professionals, engineers, academicians, technologists, students and freelancers that promotes education and research activities in science, engineering and technology worldwide for the better future of society. Dr. Sher's research is focused on Energy and Environment, especially towards sustainable energy innovative technologies, and he has authored or co-authored over 250 international peer-reviewed research publications, several book chapters, reviews, and editorials, and serves as a scientific committee member of various international conferences, workshops and global summits. Dr. Sher is Editor in Chief of the Science and Technology Journal, Associate Editor of the Cleaner Chemical Engineering Journal, Frontiers in Energy Research and Environment, Development and Sustainability, as well as an Editorial Board member for several other prestigious international journals. He is a Fellow of the Higher Education Academy (HEA) UK, an Associate Member of the Institute of Chemical Engineers (IChemE), a Senior Member of the American Institute of Chemical Engineers (AIChE), and a Professional Engineering Member of Engineers Australia (IEAust). Dr. Sher has taught over 150 undergraduate and graduate students, postdoctoral associates and visiting scholars in his laboratories, and is among the Top 2% of Scientists in the World according to the data published by Elsevier and Stanford University for 2022.