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Impact of Different Parameters on the Efficiency of GaN/Porous-GaAs/GaAs Solar Cell Cover

Impact of Different Parameters on the Efficiency of GaN/Porous-GaAs/GaAs Solar Cell

Open Access
|Mar 2026

Abstract

Modern requirements for high-efficiency solar cells increase interest in the development of new materials and structures, in particular the use of GaN/porous-GaAs/GaAs composite materials and heterostructures, which allow to improve the efficiency and stability of solar energy conversion. To determine the photovoltaic characteristics of the GaN/porous-GaAs/GaAs photoconverter, a system of equations is used, including the Poisson equation, the diffusion equation, and the charge conservation equation. The simulation results of GaN/porous-GaAs/GaAs solar cells using PC1D software showed values of short-circuit current ISC = 33.2 mA, open-circuit voltage VOC = 1.022 V, fill factor FF = 83.4% and efficiency η = 28.3% In order to optimize the parameters of the solar cell, simulations were carried out with a change in the thickness of the GaN layer, the doping levels of the GaN and porous-GaAs layers. It was established that with a thickness of the GaN layer of 1.6 μm, the efficiency of the solar cell reaches a maximum value of 29.1%. The maximum efficiency was achieved when the GaN layer was doped with 1·1017 cm−3 and was 28.4%. An increase in the temperature of the solar cell leads to a decrease in the open-circuit voltage and an increase in recombination losses, which is reflected in the decrease in the efficiency of the GaN/porous-GaAs/GaAs photoconverter from 29.8% at 270 K to 23.0% at 370 K.

Language: English
Page range: 128 - 138
Submitted on: Dec 10, 2025
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Accepted on: Feb 11, 2026
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Published on: Mar 5, 2026
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2026 Alena Dyadenchuk, Serhii Halko, Tetiana Halko, Oleksandr Miroshnyk, Taras Shchur, Оleksandr Tobert, Mykhailo Tobert, Dmytro Oberemok, Paweł Kiełbasa, published by Quality and Production Managers Association
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.