Buch, Englisch, 450 Seiten, Format (B × H): 152 mm x 229 mm
Buch, Englisch, 450 Seiten, Format (B × H): 152 mm x 229 mm
ISBN: 978-0-443-49033-0
Verlag: Elsevier Science
Interface Engineering Design of Photocatalytic Systems for Hydrogen Production addresses the critical challenge of developing efficient, stable photocatalysts for sustainable hydrogen generation. It explores the fundamental principles of interface science, including heterojunctions, surface modifications, defect engineering, and quantum dot sensitization, essential for advancing photocatalytic technology. The book systematically covers synthesis methods such as hydrothermal, chemical vapor deposition, and electrochemical techniques, alongside advanced characterization tools like SEM, TEM, XPS, and spectroscopic techniques. A dedicated section highlights the integration of machine learning algorithms—decision trees, neural networks, and data mining—to accelerate the discovery and optimization of photocatalytic materials. The content is structured to serve researchers, engineers, and students involved in materials science, nanotechnology, and renewable energy, providing both theoretical insights and practical methodologies. The comprehensive coverage aims to bridge existing knowledge gaps, offering actionable strategies for interface design, improving solar-to-hydrogen efficiency, and scaling up hydrogen production systems. This resource empowers professionals to innovate in sustainable energy solutions, supporting the transition to a cleaner energy future.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Part I: Fundamentals and Principles
1. Introduction to Photocatalytic Hydrogen Production
2. Interface Science and Engineering
3. Thermodynamics and Kinetics of Photocatalytic Reactions
4. Synthesis Methods for Intact Interface Engineering
Part II: Interface Engineering Strategies
5. Heterojunction Engineering for Enhanced Charge Separation
6. Surface Modification Strategies
7. Interface Defect Engineering
8. Photo-corrosion Inhibition with Core-Shell Morphology
9. Quantum Dots and Sensitization
10. 2D Nanomaterials for Interface Engineering
Part III: Advanced Characterization Techniques and Machine Learning
11. Advanced Characterization Techniques for Interfaces
12. Electrochemical and Spectroscopy Techniques
13. Machine Learning-Assisted Design of Photocatalysts
14. Future Directions and Challenges in Interface Engineering




