Abstract

The morphology of active layers in the bulk heterojunction (BHJ) solar cells is critical to the performance of organic photovoltaics (OPV). Currently, there is limited information for the morphology from transmission electron microscopy (TEM) techniques. Meanwhile, there are limited approaches to predict the morphology /efficiency of OPV. Here we use Dissipative Particle Dynamics (DPD) to determine 3D morphology of BHJ solar cells and show DPD to be an efficient approach to predict the 3D morphology. Based on the 3D morphology, we estimate the performance indicator of BHJ solar cells by using graph theory. Specifically, we study poly (3-hexylthiophene)/[6, 6]-phenyl-C61butyric acid methyl ester (P3HT/PCBM) BHJ solar cells. We find that, when the volume fraction of PCBM is in the region 0.4 ∼ 0.5, P3HT/PCBM will show bi-continuous morphology and optimum performance, consistent with experimental results. Further, the optimum temperature (413 K) for the morphology and performance of P3HT/PCBM is in accord with annealing results. We find that solvent additive plays a critical role in the desolvation process of P3HT/PCBM BHJ solar cell. Our approach provides a direct method to predict dynamic 3D morphology and performance indicator for BHJ solar cells.

Highlights

  • Organic photovoltaics (OPV) based on polymer/fullerene mixtures have attracted wide attention for decades due to their low-cost and flexibility[1,2,3]

  • We prove that Dissipative Particle Dynamics (DPD) is an efficient approach to predict 3D morphology of bulk heterojunction (BHJ) solar cells

  • We find that, when the volume fraction of PCBM is in the region 0.4 ∼ 0 .6, PCBM/P3HT will show bi-continuous morphology and optimum performance indicator, which is consistent with experimental results

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Summary

Introduction

Organic photovoltaics (OPV) based on polymer/fullerene mixtures have attracted wide attention for decades due to their low-cost and flexibility[1,2,3]. We perform Dissipative Particle Dynamics (DPD)[23] to obtain simulated equilibrated morphology of the active layer of OPV. Based on the morphology of BHJ solar cells from DPD simulations, we estimate the performance indicator by using graph theory[17].

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Conclusion
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