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