Combined DMC-Genetic Algorithm approaches for IGZO/P3HT:PCBM inorganic/organic solar cell design optimization

In this work, we investigate via Monte Carlo simulation approach the blend morphology effect on the electrical performances of an heterojunction organic solar cell, in order to optimize the device structure to reach a high efficiency. It is found that by selecting a 7.2 nm as feature size in the blend we reach charge collection efficiency of 91.65%. The proposed design includes an antireflection coating (IGZO) to reduce the unwanted reflection effect. The comparison of the blend figures of merit calculated by our simulations, with uniform structures (bilayer and checkered structure) reveals that the internal quantum efficiency for the polymer blend can attain up to 2.4 % which is superior by about 1% than bilayer and checkered samples, respectively. In addition, genetic algorithm optimization approach is used to captivate the optimal design of the investigated solar cell. The present work could provide evidence helpful in avoiding the blurred vision of the organic solar cell operation. In the future, more attention could be concentrated on the examination of different organic material mixture tailoring, in addition to the research of unique electrodes such as Ga2O 3 and RGO.