Overview

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.

Full Product Details

Author:   Abderrahman Abbassi
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.780kg
ISBN:  

9781032814100

ISBN 10:   1032814101
Pages:   318
Publication Date:   15 June 2025
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1. Artificial Intelligence Applications in Energy 2. Density Functional Theory for 2D Anode Materials 3. Advancements in Solar Cell Technology: Integrating DFT and SLME Methods for Lead-Free Perovskite Development 4. Modling Structural, Electronic and Optical Properties of Monolayer MXenes M_4 C_3 (M = Nb, Ta) based on DFT 5. Accelerated Discovery of High-Efficiency Solar-Cell Materials: Integrating Density Functional Theory and Machine Learning 6. Integrating Nanomaterials and Advanced Nanoscale Approaches for Boosting the Performance of Next-Generation Photovoltaic Devices based on III-Nitrides Materials 7. New Approaches for Developing Efficient Eco-Friendly Lead-Free Perovskite Thin-Film Solar Cells: Modeling and Design Methodology 8. Magnetic Spinel for Smart Applications 9. Advances Nanomaterials and Characterization Techniques for Photovoltaic Applications 10. Exploring the Potential of TiO2 Thin Films for Photovoltaic Use: Mesoporous and Compact Layers Coating 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 12. Internet of Things for Photovoltaic Solar Energy Systems 13. IoT in Energy Systems: Innovations, Challenges, and Future Outlooks 14. Machine Learning-User Association Approach for Energy-Efficient and Mitigations Interference in HetNets 15. Legal and Regulatory Challenges in Implementing Blockchain-Enabled Renewable Energy Systems

Reviews

Author Information

Abderrahman Abbassi holds a PhD in Physics, specializing in Engineering and Materials Science (Applied Physics). His extensive scientific research and academic training have provided him with substantial professional experience in Materials Physics, Electrical Engineering, and Renewable Energy. Since December 2020, he has been serving as a Professor and Researcher at Sultan Moulay Slimane University, within the Polydisciplinary Faculty of Beni Melal. His research encompasses a wide range of areas, including TCO semiconductors for photovoltaic applications, clean energy, material properties for energy, double perovskite oxides, spintronic and optoelectronics, and 2D systems and layers with applications in energy. He is also engaged in the study of molecular dynamics and digital technologies. Dr. Abbassi is skilled in simulating materials using quantum physics codes such as WIEN2k and Quantum Espresso, calculating properties of materials for applications in solar energy and optoelectronics, scintillators, batteries and elaborating and fabricating thin films through various methods, including spin coating, laser ablation, and cathodic sputtering. His expertise further extends to solar energy, electrical circuits, IoT, and proficiency in electronic simulation.

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions