Applied AI Techniques in the Process Industry
Wiley-VCH (Verlag)
978-3-527-35339-2 (ISBN)
Chang He is an associate professor in the School of Chemical Engineering and Technology, Sun Yat-Sen University. His research focuses on the multi-scale integration, design, optimization, and sustainability of the advanced energy systems. Dr. Jingzheng Ren is currently an Associate Professor at The Hong Kong Polytechnic University. He received the 2022 Asia-Pacific Economic Cooperation (APEC) Science Prize for Innovation, Research and Education (ASPIRE Prize).
Chapter 1: Integrating Data-Driven Modeling with First-Principles Knowledge
Chapter 2: Advanced algorithms for Hybrid Data-driven Modelling
Chapter 3: A computational Framework for Model-based Design and Optimization of Dynamic and Cyclic Membrane Processes
Chapter 4: AI-Aided Optimization and Design of MOF Materials for Gas Separation
Chapter 5: Machine Learning Aided Materials and Process Integration Design for High-Efficiency Gas Separation
Chapter 6: Data-driven Screening of High-performance Ionic Liquids
Chapter 7: Hunting for Aromatic Chemicals with AI Techniques
Chapter 8: AI-assisted Drug Design and Production
Chapter 9: Designing a Heat Exchanger by Combining Physics-Informed Deep Learning and Transfer Learning
Chapter 10: Catalyst Design Based on Machine Learning
Chapter 11: Surrogate Models for Sustainability Optimization of Complex Industrial System
Chapter 12: Advanced Machine Learning and Deep Learning Models for Chemical Process Control and Process Data Analytics
| Erscheinungsdatum | 29.01.2025 |
|---|---|
| Verlagsort | Berlin |
| Sprache | englisch |
| Maße | 170 x 244 mm |
| Gewicht | 666 g |
| Themenwelt | Naturwissenschaften ► Chemie ► Physikalische Chemie |
| Schlagworte | Artificial Intelligence • chemical engineering • Chemie • Chemische Verfahrenstechnik • Chemistry • Computational Chemistry & Molecular Modeling • Computational Chemistry u. Molecular Modeling • Computer Science • Informatik • Künstliche Intelligenz • Process Engineering • Prozesssteuerung |
| ISBN-10 | 3-527-35339-9 / 3527353399 |
| ISBN-13 | 978-3-527-35339-2 / 9783527353392 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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