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<p>This study presents a semi-analytical and numerical approach to enhancing the performance of organic solar cells (OSCs) based on the PM6:Y6 system. To model the optical properties of the plasmonic active layer, we utilized the Maxwell-Garnett Effective Medium Theory to determine the complex refractive index of a composite containing 10 vol% silver nanoparticles (Ag-NPs). These derived optical constants were then integrated into a Transfer Matrix Method (TMM) to simulate light absorption and optoelectronic performance. Our results demonstrate that Ag-NPs significantly boost light absorption via localized surface plasmon resonance (LSPR) and enhanced scattering, leading to a substantial increase in simulated device efficiency. The plasmonic device achieved a power conversion efficiency (PCE) of 13.92%, a notable improvement over the pristine device’s 10.19%. Furthermore, a detailed analysis of active layer thickness across a range of 100 to 280&#xa0;nm revealed that optimal performance is architecture-dependent. Inverted OSCs (IOSCs) reached their peak PCE of 14.29% at a thickness of 220&#xa0;nm, while conventional OSCs (COSCs) performed best at 240&#xa0;nm with a PCE of 11.49%. This finding highlights the superior charge extraction and collection efficiency of the inverted configuration. Overall, this research establishes that combining a semi-analytical plasmonic model with precise thickness optimization is a powerful and efficient strategy for designing high-efficiency OSCs.</p>

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Computational investigation of silver nanoparticle-enhanced organic solar cells: optical and electronic insights

  • 期刊论文

  • 发表日期：

    2025年11月10日

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  • Khalid Bouguenina,
  • Abdelhalim Zoukel,
  • Abdelkader Nebatti Ech-Chergui,
  • Kada Benhanifia,
  • Bahri Deghfel,
  • Loumafak Hafaifa,
  • Noureddine Benaya,
  • Fatima Bouasria,
  • Mehdi Adjdir

摘要

This study presents a semi-analytical and numerical approach to enhancing the performance of organic solar cells (OSCs) based on the PM6:Y6 system. To model the optical properties of the plasmonic active layer, we utilized the Maxwell-Garnett Effective Medium Theory to determine the complex refractive index of a composite containing 10 vol% silver nanoparticles (Ag-NPs). These derived optical constants were then integrated into a Transfer Matrix Method (TMM) to simulate light absorption and optoelectronic performance. Our results demonstrate that Ag-NPs significantly boost light absorption via localized surface plasmon resonance (LSPR) and enhanced scattering, leading to a substantial increase in simulated device efficiency. The plasmonic device achieved a power conversion efficiency (PCE) of 13.92%, a notable improvement over the pristine device’s 10.19%. Furthermore, a detailed analysis of active layer thickness across a range of 100 to 280 nm revealed that optimal performance is architecture-dependent. Inverted OSCs (IOSCs) reached their peak PCE of 14.29% at a thickness of 220 nm, while conventional OSCs (COSCs) performed best at 240 nm with a PCE of 11.49%. This finding highlights the superior charge extraction and collection efficiency of the inverted configuration. Overall, this research establishes that combining a semi-analytical plasmonic model with precise thickness optimization is a powerful and efficient strategy for designing high-efficiency OSCs.