NanoRevolution
eBook - ePub

NanoRevolution

Unveiling the Future of Energy through Advanced Materials and Digital Technologies

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

NanoRevolution

Unveiling the Future of Energy through Advanced Materials and Digital Technologies

About this book

As the global push toward energy accelerates, NanoRevolution: Unveiling the Future of Energy through Advanced Materials and Digital Technologies brings forward a powerful vision of how advanced materials and digital technologies are redefining energy solutions. This comprehensive resource navigates the frontiers of nanotechnology, artificial intelligence (AI), and IoT applications within the renewable energy sector, presenting innovative strategies that address today's most pressing energy challenges.

Across 15 chapters, NanoRevolution covers transformative advancements in photovoltaic and energy storage technologies. It explores the application of density functional theory (DFT) in developing high-efficiency, lead-free solar cells, new methodologies for enhancing MXenes-based materials, and emerging AI-powered solutions for energy optimization and predictive maintenance. The book also examines IoT-driven innovations in photovoltaic systems and provides a high-level overview of blockchain's potential in secure energy transactions.

This book is an invaluable guide for researchers, engineers, and industry professionals focused on next-generation energy solutions, offering both theoretical depth and practical applications to drive progress toward a sustainable energy future.

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Yes, you can access NanoRevolution by Abderrahman Abbassi in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Nanotechnology & MEMS. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Contents
  7. List of Contributors
  8. Chapter 1 Artificial Intelligence Applications in Energy
  9. Chapter 2 Density Functional Theory for 2D Anode Materials
  10. Chapter 3 Advancements in Solar Cell Technology: Integrating DFT and SLME Methods for Lead-Free Perovskite Development
  11. Chapter 4 Modeling Structural, Electronic, and Optical Properties of Monolayer MXenes M4C3 (M = Nb, Ta) Based on DFT
  12. Chapter 5 Accelerated Discovery of High-Efficiency Solar-Cell Materials: Integrating Density Functional Theory and Machine Learning
  13. Chapter 6 Integrating Nanomaterials and Advanced Nanoscale Approaches for Boosting the Performance of Next-Generation Photovoltaic Devices Based on III-Nitrides Materials
  14. Chapter 7 New Approaches for Developing Efficient Eco-Friendly Lead-Free Perovskite Thin-Film Solar Cells: Modeling and Design Methodology
  15. Chapter 8 Magnetic Spinel for Smart Applications
  16. Chapter 9 Advanced Nanomaterials and Characterization Techniques for Photovoltaic Applications
  17. Chapter 10 Exploring the Potential of TiO2 Thin Films for Photovoltaic Use: Mesoporous and Compact Layers Coating
  18. Chapter 11 Theoretical Study of the Optical, Structural and Electronic Properties of Germanium Dioxide (GeO2) Doped with Ti and Nb by the DFT Method with mBJ Correction
  19. Chapter 12 Internet of Things for Photovoltaic Solar Energy Systems
  20. Chapter 13 IoT in Energy Systems: Innovations, Challenges, and Future Outlooks
  21. Chapter 14 Machine Learning-User Association Approach for Energy-Efficient and Mitigation Interference in HetNets
  22. Chapter 15 Legal and Regulatory Challenges in Implementing Blockchain-Enabled Renewable Energy Systems
  23. Index