Numerical Modeling and Analysis of Photoresponse in Graphene-Based PIN Junction Devices
This work presents a comprehensive numerical framework for modeling the photoresponse of monolayer graphene-based photodetectors, by solving Poisson's and current continuity equations self-consistently. The framework accurately captures both electrostatic potential and carrier transport phenomena in graphene-metal junctions and is validated against experimental data. By implementing a PIN junction architecture, a “staircase” potential profile is formed in the device leading to local electric fields on the order of 10<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">5</sup> V/cm, significantly enhancing carrier separation and drift current. Our simulation results indicate that the PIN junction yields a 40x increase in responsivity compared to conventional sheet-based graphene devices. This highlights the potential of the PIN junction-based approach for developing advanced, tunable, broadband graphene photodetectors. The developed numerical framework offers a powerful tool for photodetector optimization, enabling systematic exploration of structural parameters and operating conditions.
Authors
- Naresh Kumar Emani (ORCID: https://orcid.org/0000-0002-0488-921X)
- Jinal Tapar (ORCID: https://orcid.org/0000-0003-0027-3140)
- Oves Badami (ORCID: https://orcid.org/0000-0003-1975-2803)
- Vinod K Sharma (ORCID: https://orcid.org/0000-0002-8867-6624)
Institutions
- Indian Institute of Technology Hyderabad (IN)
Publication Details
- Journal
- IEEE Transactions on Nanotechnology
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/tnano.2025.3610119
- Citations
- 1
- Primary Topic
- Semiconductor materials and interfaces
- Type
- article
- Field-Weighted Citation Impact
- 1.25