Artificial Intelligence in Chemical Engineering
by Farooq Sher
1st Edition
Publisher: Elsevier
Book Details
| Print ISBN | 9780443340765 |
| eText ISBN | 9780443340772 |
| Publisher | Elsevier |
| Publishing Year | 2025 |
| Edition | 1st Edition |
| Language | English |
| Pages | 702 |
Artificial Intelligence in Chemical Engineering, 1st Edition, is a book that presents technical coverage of machine learning implementation across industrial process environments. The material outlines systematic methods for algorithm selection, model training, and model validation procedures in process modeling.
The text details practical protocols for data acquisition, data quality assurance, feature engineering, and feature selection when constructing supervised and unsupervised industrial process models. Specialized thematic chapters demonstrate how computational tools such as neural network designs, convolutional architectures, and recurrent model structures apply directly to chemical reaction engineering, kinetics evaluation, reactor design, heat and mass transfer operations, and fluid dynamics in multiphase flow systems.
Edited by Dr. Farooq Sher, an Assistant Professor at Nottingham Trent University and Fellow of the Higher Education Academy, this 702-page book supports university professors, students, and research professionals in chemical, process, and environmental engineering, alongside research specialists in environmental sciences.
Table of Contents
Chapter 1: Introduction to artificial intelligence in chemical engineering
Chapter 2: Artificial intelligence in chemical engineering data acquisition and integration
Chapter 3: Predictive modeling and process optimization in chemical engineering
Chapter 4: Artificial intelligence in chemical engineering and process technologies
Chapter 5: Artificial intelligence in chemical reaction engineering
Chapter 6: Artificial intelligence in chemical kinetics and reactor design
Chapter 7: Artificial intelligence in heat and mass transfer in chemical engineering processes
Chapter 8: Artificial intelligence in fluid dynamics and multiphase flow systems
Chapter 9: Artificial intelligence in chemical engineering process monitoring and predictive maintenance
Chapter 10: Real-time decision support systems in chemical and process engineering
Chapter 11: Artificial intelligence in quality control and product development
Chapter 12: Artificial intelligence in process safety and risk management
Chapter 13: Artificial intelligence in sustainable manufacturing and chemical processes
Chapter 14: Artificial intelligence in sustainable and smart agrochemicals
Chapter 15: Artificial intelligence in energy optimization and renewable energy system integration
Chapter 16: AI-enhanced supply chain management in chemical engineering
Chapter 17: Artificial intelligence in chemical engineering and applied sciences education
Chapter 18: Artificial intelligence for regulatory compliance in chemical engineering industries
Chapter 19: Human-AI collaboration in chemical engineering
Chapter 20: Regulatory compliance and ethical considerations in integration artificial intelligence
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