Study on Novel Semiconductors Using Molecular Dynamics and Computational Simulations to Enhance Thermodynamic Stability

Porphyrins and fullerenes offer significant advantages over classical semiconductors in sensors and solar cells due to their superior light absorption, efficient charge separation, and lower manufacturing costs. In contemporary fuel cell and photovoltaic technology, carbon-based nanomaterials have emerged as promising candidates for enhancing energy conversion efficiency and reducing costs. Among these, porphyrins and fullerenes have garnered significant attention due to their unique optical, electronic, and structural properties, which make them highly suitable for applications in organic solar cells. However, the relatively low activity and stability of some of these materials have limited their widespread adoption in photovoltaic devices. This study focuses on the theoretical and computational investigation of porphyrins and fullerenes to evaluate their optimized energy, stability, and activity for use in solar cells, with the aim of overcoming these limitations.

In this study, molecular editing and computational modeling were employed to construct and optimize the structures of porphyrin-fullerene systems. The stereo-chemical and thermo-dynamical properties of these molecules were analyzed using theoretical calculations and computer simulations. The optimized energy configurations, stability, and electronic activity of the porphyrin-fullerene complexes were evaluated to assess their potential for improving the efficiency of organic solar cells. The simulations revealed that the porphyrin-fullerene dyads exhibit strong electronic coupling, efficient charge transfer, and enhanced light absorption, all of which are essential for high-performance photovoltaic applications.

In conclusion, this study underscores the potential of porphyrin-fullerene systems as advanced materials for next-generation organic solar cells. By leveraging the complementary properties of porphyrins and fullerenes, it is possible to design highly efficient and stable photovoltaic devices that address the current limitations of carbon-based nanomaterials. The insights gained from this computational investigation provide a foundation for further experimental exploration and optimization of these systems, paving the way for their practical application in renewable energy technologies.