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Chinenye Okey-Onyesolu

Nnamdi Azikiwe University

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Machine Learning-enhanced Copper (I) Thiocyanate-based Perovskite-silicon Tandem Solar Cells: Optimization Strategies for Enhanced Effi ciency and Stability

Number of pages: 51 Posted: 06 May 2025
Sunday Uzochukwu John, Chinenye Okey-Onyesolu, Chioma Mary-Jane Ezechukwu, Chukwunonso Nnayelum Onyenanu, Obioma Achugbu and C.M John
Nnamdi Azikiwe University, Nnamdi Azikiwe University, Nnamdi Azikiwe University, Nnamdi Azikiwe University, Nnamdi Azikiwe University Awka and Nnamdi Azikiwe University
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John SU, Okey-Onyesolu CF, Ezechukwu CMJ, Onyenanu CN, Achugbu EO, John CM. Machine Learning-enhanced Copper (I) Thiocyanate-based Perovskite-silicon Tandem Solar Cells: Optimization Strategies for Enhanced Effi ciency and Stability. Arch Case Rep. 2025, 9(3): 081-0131 Perovskite tandem solar-cells, CuSCN hole transport-layer, Machine learning-based optimization, Interface-engineering, Power conversion-effi ciency, Scalability and stability, Renewable-energy technologies