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.

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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
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article

Numerical Modeling and Analysis of Photoresponse in Graphene-Based PIN Junction Devices

Naresh Kumar Emani, Jinal Tapar, Oves Badami, Vinod K Sharma
1 citations
IEEE Transactions on Nanotechnology
Semiconductor materials and interfaces
1.25
article

Numerical Modeling and Analysis of Photoresponse in Graphene-Based PIN Junction Devices

Naresh Kumar Emani, Jinal Tapar, Oves Badami, Vinod K Sharma
article en
1 citations

Abstract

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.

IEEE Transactions on NanotechnologyVol. 24
Indian Institute of Technology Hyderabad (IN)
Openalex Percentile: Top 17%
Semiconductor materials and interfaces
1.25
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