Advanced Materials, Artificial Intelligence, and Sustainable Technologies for Energy and Environmental Engineering
Keywords:
Advanced Materials, Artificial Intelligence, Sustainable Technologies, Energy Engineering, Environmental EngineeringSynopsis
Advanced Materials, Artificial Intelligence, and Sustainable Technologies for Energy and Environmental Engineering brings together cutting-edge research and applied studies at the intersection of materials science, intelligent systems, and sustainable engineering. The chapters explore how advanced materials—such as nanomaterials, smart and functional materials, carbon-based structures, and novel composites— can enhance the efficiency, safety, and resilience of energy and environmental systems. In parallel, the volume examines the growing role of artificial intelligence, data analytics, and automation in optimizing industrial processes, monitoring pollution, supporting decision-making, and enabling predictive maintenance across infrastructure and manufacturing. Contributions range from experimental studies on water and wastewater treatment, pollution monitoring, and remediation, to the design of energy-efficient processes, AI-driven structural and civil engineering solutions, and sustainable resource management strategies. By linking fundamental advances in materials and intelligent technologies with real-world challenges in energy and environmental engineering, this book offers an integrated perspective for researchers, practitioners, and graduate students seeking to develop cleaner, smarter, and more sustainable technological systems.
Chapters
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Chapter 1. Analysis of Toxic Substances in Seawater
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Chapter 2. Use of Dissolved Gases and Their Radicals in Technologies for Purifying Natural Water
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Chapter 3. Use of nano substances for environmental safety
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Chapter 4. Using nanoparticles to protect aquatic ecosystems
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Chapter 5. Environmental problems arising from oil extraction
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Chapter 6. Evaluation of Artificial Stimulation Methods in the West Absheron Field Based on Hydrodynamic Model
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Chapter 7. Technological Integration in Oil and Gas Industry Supply Chain Management
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Chapter 8. Waste Oil Monitoring and Water Informatics Using AI and IoT
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Chapter 9. Ecological Basis for the Use of Iron and Manganese-Based Metal Complexes
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Chapter 10. Investigation of new synthesized graphene oxide and use in the purification of waste water
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Chapter 11. Rayleigh wave propagation in an anisotropic half-space with a graded piezoelectric capping layer and a non-ideal interface
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Chapter 12. Study of the smoke-reducing properties of metal-organic compounds and their industrial applications
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Chapter 13. Ultrasonic Multi-Electrode Electrophysical Ionization for High- Purity Extraction of Precious, Base, and Rare-Earth Metals from Kyrgyzstan’s Technogenic Tailings
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Chapter 14. Graphene for Photodetectors and Optoelectronics
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Chapter 15. Graphene for Supercapacitors and Energy Storage
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Chapter 16. Interface Engineering and Stability of Graphene-Based Devices
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Chapter 17. AI in Structural and Construction Engineering
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Chapter 18. Artificial Intelligence for Environmental Monitoring and Pollution Management
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Chapter 19. Big data analytics in energy systems and sustainability
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Chapter 20. Cybersecurity in AI-enabled Infrastructures
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Chapter 21. Global Regulatory Frameworks and Sustainable Policy Approaches
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Chapter 22. Harnessing Artificial Intelligence and Big Data for Innovation and Sustainability in the Oil and Gas Industry
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Chapter 23. Renewable Energy Integration and Smart Grid Management
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Chapter 24. Smart Cities and Environmental Water Pollution

