Optoelectronic performance prediction of HgCdTe homojunction photodetector in long wave infrared spectral region using traditional simulations and machine learning models.
Autor: | Bansal S; Department of Electronics and Communication Engineering, Chandigarh University, Gharuan, Punjab, India. shonakk@gmail.com., Jain A; Department of Computer Science and Engineering, Koneru Lakshmaiah Educational Foundations, Vijayawada, India., Kumar S; School of Computer Science and Artificial Intelligence, SR University, Warangal, India., Kumar A; School of Computing, DIT University, Dehradun, Uttarakhand, India., Kumar PR; Department of AI&ML, NRI Institute of Technology, Agripalli, Eluru, AP, 521212, India., Prakash K; Department of Electronics and Communication Engineering, NRI Institute of Technology, Agripalli, Eluru, AP, 521212, India., Soliman MS; Department of Electrical Engineering, College of Engineering, Taif University, 21944, Taif, Saudi Arabia.; Department of Electrical Engineering, Faculty of Energy Engineering, Aswan University, Aswan, 81528, Egypt., Islam MS; Faculty of Engineering (FOE), Multimedia University (MMU), 63100, Cyberjaya, Selangor, Malaysia. shabiul.islam@mmu.edu.my., Islam MT; Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, UKM, 43600, Bangi, Selangor, Malaysia. tariqul@ukm.edu.my. |
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Jazyk: | angličtina |
Zdroj: | Scientific reports [Sci Rep] 2024 Nov 15; Vol. 14 (1), pp. 28230. Date of Electronic Publication: 2024 Nov 15. |
DOI: | 10.1038/s41598-024-79727-y |
Abstrakt: | This research explores the design of an infrared (IR) photodetector using mercury cadmium telluride (Hg Competing Interests: Declarations Competing interests The authors declare no competing interests. (© 2024. The Author(s).) |
Databáze: | MEDLINE |
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