Abstract
Electron-phonon interactions play a pivotal role in the electronic properties of nanomaterials, influencing phenomena such as electrical conductivity, thermal conductivity, and superconductivity. Computational studies offer a deep understanding of these interactions, enabling predictions about the behavior of nanomaterials under various conditions. This paper reviews recent advancements in the computational modeling of electron-phonon interactions, highlighting key techniques, such as density functional theory (DFT), and their application to nanostructures like graphene, carbon nanotubes, and topological insulators. The study explores the impact of these interactions on the transport properties and provides a framework for future computational investigations in nanomaterial research.

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Copyright (c) 2024 Dr. John Smith (Author)