| Issue |
EPJ Web Conf.
Volume 356, 2026
5th International Conference on Condensed Matter and Applied Physics (ICC 2025)
|
|
|---|---|---|
| Article Number | 01030 | |
| Number of page(s) | 8 | |
| Section | Condensed Matter | |
| DOI | https://doi.org/10.1051/epjconf/202635601030 | |
| Published online | 05 March 2026 | |
https://doi.org/10.1051/epjconf/202635601030
Theoretical investigation of defect-induced electronic transport degradation in 2D semiconductors using DFT-derived parameters
Department of Physics, Rustamji Institute of Technology, BSF Academy, Gwalior, M. P., India
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 5 March 2026
Abstract
Two-dimensional (2D) semiconductors such as graphene and transition-metal dichalcogenides (TMDs) are promising materials for next-generation nanoelectronics and radiation-resistant devices. However, atomic-level defects, which occur during synthesis or exposure to radiation, can significantly alter their transport behavior by creating localized states and scattering centers. While many density functional theory (DFT) studies have focused on the energy required for defect formation and how these defects modify electronic structures, there is still limited understanding of how these factors connect to electronic transport issues. In this theoretical work, we create a framework that links DFT-derived defect parameters to charge transport properties in 2D semiconductors. Using defect formation energies and changes in band structure reported in the literature, we estimate the equilibrium defect density. We then use these estimates in analytical models for carrier scattering and mobility based on Boltzmann transport theory. The model predicts how conductivity, carrier mobility and mean free path change depending on defect concentration and temperature. This study provides a clear connection between nuclear defect energetics and macroscopic electronic transport. This helps in identifying 2D materials with better defect resistance. The proposed method serves as a predictive tool to design high-performance and radiation-resistant 2D semiconductor devices without the need for extensive experimental or computational efforts.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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