Material selection method for a perovskite solar cell design based on the genetic algorithm
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/9300349/9300350/09300498.pdf?arnumber=9300498
Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Printing PEDOT:PSS optimized using Response surface method (RSM) and genetic algorithm (ga) via modified 3D printer for perovskite solar cell applications;Applied Materials Today;2024-04
2. Unveiling Optimal Design and Performance of Perovskite Solar Cells through Genetic Algorithm;2024 IEEE 3rd International Conference on Control, Instrumentation, Energy & Communication (CIEC);2024-01-25
3. Efficient modeling of double absorber layered structure in perovskite solar cells using machine learning techniques;Physica Scripta;2023-09-08
4. Performance analysis and optimization of perovskite solar cell using SCAPS-1D and genetic algorithm;Materials Today Communications;2023-03
5. The influence of the conduction band engineering on the perovskite solar cell performance;Results in Optics;2022-12
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