Citation

Bansal, Shonak and Jain, Arpit and Kumar, Sandeep and Kumar, Ashok and Kumar, Parvataneni Rajendra and Prakash, Krishna and Soliman, Mohamed S. and Islam, Md. Shabiul and Islam, Mohammad Tariqul (2024) Optoelectronic performance prediction of HgCdTe homojunction photodetector in long wave infrared spectral region using traditional simulations and machine learning models. Scientific Reports, 14 (1). ISSN 2045-2322

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Abstract

This research explores the design of an infrared (IR) photodetector using mercury cadmium telluride (Hg1–xCdx Te). It proposes two- and three-dimensional homojunction models based on p+- Hg0.7783Cd0.2217Te/n– -Hg0.7783Cd0.2217Te, focusing on applications in the long-wavelength infrared range. The photodetector’s performance is analyzed using Silvaco ATLAS TCAD software and compared with analytical calculations based on drift-diffusion, tunneling, and Chu’s approximation techniques. Optimized for operation at 10.6 μm wavelength under liquid nitrogen temperature, the proposed photodetector demonstrates promising optoelectronic characteristics including the dark current density of 0.20 mA/cm2, photocurrent density of 4.98A/cm2, and photocurrent density-to-dark current density ratio of 2.46×104, a 3-dB cut-off frequency of 104GHz, a rise time of 0.8 ps, quantum efficiency of 58.30 %, peak photocurrent responsivity of 4.98A/W, specific detectivity of 3.96×1011 cmHz1/2/W, and noise equivalent power of 2.52×10–16 W/Hz1/2 indicating its potential for low-noise, highfrequency and fast-switching applications. The study also incorporates machine learning regression models to validate simulation results and provide a predictive framework for performance optimization, evaluating these models using various statistical metrics. This comprehensive approach demonstrates the synergy between advanced materials science and computational techniques in developing next-generation optoelectronic devices. By combining theoretical modeling, simulation, and machine learning, the research highlights the potential to accelerate progress in IR detection technology and enhance device performance and efficiency. This multidisciplinary methodology could serve as a model for future studies in optoelectronics, illustrating how advanced materials and computational methods can be utilized to enhance device capabilities

Item Type:	Article
Uncontrolled Keywords:	HgCdTe, Homojunction, Infrared photodetector, Long-wavelength infrared
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA1501-1820 Applied optics. Photonics
Divisions:	Faculty of Engineering (FOE)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	04 Dec 2024 02:53
Last Modified:	04 Dec 2024 02:53
URII:	http://shdl.mmu.edu.my/id/eprint/13213

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