Metal Organic Frameworks for Energy and Environmental Applications
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Product details:
- Publisher Elsevier Science
- Date of Publication 31 October 2025
- ISBN 9780443403774
- Binding Paperback
- No. of pages450 pages
- Size 229x152 mm
- Weight 450 g
- Language English
- Illustrations Approx. 100 illustrations (100 in full color) 700
Categories
Long description:
Metal Organic Frameworks for Energy and Environmental Applications presents a comprehensive overview on the application of metal organic frameworks (MOFs) to energy and environmental areas. MOFs are a promising class of materials due to their tunable structures, high surface area, and versatile functionalities, and are capturing the attention of the global scientific community due to their intersection with environmental concerns. Chapters summarize recent research on MOFS and synthesis strategies for catalysis, including photocatalysis, electrocatalysis, and thermal catalysis, and how MOFs offer enhanced performance, selectivity, and efficiency.
Additionally, the vital role MOFs play in energy storage, environmental purification, including degradation of harmful agents, and resource utilization is explored. The book also presents new research on machine learning and data mining, including how researchers can leverage datasets and algorithms to discover new, high-performance MOFs. Metal Organic Frameworks for Energy and Environmental Applications will be a valuable reference for those studying and working in the field of MOFs as they apply to energy, environmental technologies, catalysis, and materials science.
Table of Contents:
1. Introduction to MOFs
2. Synthetic strategies for MOFs
3. Characterization techniques for MOFs
4. Shaping of metal-organic framework
5. MOFs for photocatalytic water splitting
6. MOFs for photocatalytic CO2 reduction
7. MOFs for HER and OER
8. MOFs for CO2 electroreduction
9. MOFs for oxidation and hydrogenation reaction
10. MOFs for thermal energy storage
11. MOFs for electrical energy storage
12. MOFs for hydrogen storage
13. MOFs for chemical warfare agent degradation
14. MOFs for gas sensor
15. MOFs for extraction of radionuclide/noble metals/lithium
16. Machine learning accelerates the development of MOFs
17. Conclusions and challenges
