Tandem polymer solar cells: simulation and optimization through a multiscale scheme

• Fanan Wei,
• Ligang Yao,
• Fei Lan,
• Guangyong Li and
• Lianqing Liu

Beilstein J. Nanotechnol. 2017, 8, 123–133, doi:10.3762/bjnano.8.13

• photovoltaics to achieve high performance. Consistency between the optimization results and the reported experimental results proved the effectiveness of the proposed simulation scheme. Keywords: genetic algorithm; Monte Carlo simulation; simplex searching; tandem polymer solar cells; Introduction Polymer

• -benzothiadiazole)])/PCBM (PCPDTBT/PCBM). The J–V curves of the device were acquired through a multiscale simulation scheme. Then performance indices were evaluated and related to the thickness, inner morphologies and the weight ratio of the active layers. Finally, using a simplex searching algorithm and genetic

• accurate optimization results are required for tandem polymer solar cells. For the purpose of relieving computational load and optimizing tandem device structures with all the structure parameters considered, we employed two searching algorithms: simplex searching [30] and GA [31]. In simplex searching