NanoRevolution

Unveiling the Future of Energy through Advanced Materials and Digital Technologies
1. Auflage 2025
ISBN: 978-1-032-81410-0
Verlag: Taylor & Francis Ltd

Buch, Englisch, 328 Seiten, Format (B × H): 156 mm x 234 mm

Reihe: Series in Materials Science and Engineering

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.

Zielgruppe

Postgraduate and Professional Reference

Autoren/Hrsg.

Abbassi, Abderrahman

Fachgebiete

• Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau Mechatronik, Mikrosysteme (MEMS), Nanosysteme
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde
• Technische Wissenschaften Technik Allgemein Nanotechnologie

Inhaltsverzeichnis

1. Artificial Intelligence Applications in Energy

A. Zaghrane, H. Ouhenou, A. Abbassi, S. Taj, B. Manaut

2. Density Functional Theory for 2D Anode Materials

M. Agouri, A.Waqdim, A. Abbassi, S. Taj, B. Manaut, M. Driouich

3. Advancements in Solar Cell Technology: Integrating DFT and SLME Methods for Lead-Free Perovskite Development

H. Ouhenou, A. Zaghrane  ,  A. Abbassi , S. Taj, B. Manaut

4. Modeling Structural, Electronic and Optical Properties of Monolayer MXenes M4C3 (M = Nb, Ta) based on DFT

E. Darkaoui ,  H. Fatihi,  A. Abbassi, S. Taj, and B. Manaut

5. Accelerated Discovery of High-Efficiency Solar-Cell Materials: Integrating Density Functional Theory and Machine Learning

Hmad Fatihi, El Mokhtar Darkaoui, Abderrahman Abbassi,  Moha El idrissi

6. Integrating Nanomaterials and Advanced Nanoscale Approaches for Boosting the Performance of Next-Generation Photovoltaic Devices based on III-Nitrides Materials

Redouane En-nadir, Ayoub El Baraka, Mohamed A. Basyooni-M. Kabatas, Mohamed Tihtih,  Ilyass Ez-zejjari, Hassan Abboudi, Haddou El Ghazi, Izeddine Zorkani

7. New Approaches for Developing Efficient Eco-Friendly Lead-Free Perovskite Thin-Film Solar Cells: Modeling and Design Methodology

A. Maoucha, F. Djeffal, H. Ferhati

8. Magnetic Spinel for Smart Applications

Ketankumar Rameshbhai Gayakvad

9. Advanced Nanomaterials and Characterization Techniques for Photovoltaic Applications

Aman Kumar and Anuj Kumar

10. Exploring the Potential of TiO2 Thin Films for Photovoltaic Use: Mesoporous and Compact Layers Coating

Sana Handor, Mohamed Sahlaoui, Laura Hrostea, Abderrahman Abbassi, Liviu Leontie,    Mohammed Sajieddine, Abdelati Razouk

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

Younes Ziat, Hamza Belkhanchi, Zakaryaa Zarhri, Charaf Laghlimi

12. Internet of Things for Photovoltaic Solar Energy Systems

Abdelmalek Mimouni, Aumeur El Amrani, Mohamed El Amraoui, Lahcen Bejjit

13. IoT in Energy Systems: Innovations, Challenges, and Future Outlooks

Raja Mahmou

14. Machine Learning-User Association Approach for Energy-Efficient and Mitigation Interference in HetNets

Samira ACHKI, Layla AZIZ, Sanaa KABIL, Abdelali EL GOURARI and AIT LAHCEN Yassine

15. Legal and Regulatory Challenges in Implementing Blockchain-Enabled Renewable Energy Systems

Karisma, Karisma

Über Autor(innen)

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.