English

Predicting Organic Solar Cell Performance and Stability from Fast, Morphology-aware Current-Voltage Modeling

Materials Science 2026-05-20 v1 Computational Physics

Abstract

Understanding the relationship between morphology and performance in organic solar cells is essential for developing devices that are both high performing and resilient to aging. This work introduces a unique method capable of calculating the current-voltage (JV) curve of complex heterojunction morphologies containing up to five phases (donor amorphous, donor crystalline, acceptor amorphous, acceptor crystalline, mixed amorphous) with a very low computation time using morphology-aware descriptors of light absorption, exciton dissociation, non-geminate recombination and free charge carrier mobilities. The method is validated against Monte Carlo and 3D drift-diffusion simulations and applied to P3HT:PCBM and PM6:Y6 systems, shedding light on the physical compromises encountered to optimize device performance and lifetime. Finally, we show that the morphology-performance relationship is dependent on the materials system studied.

Keywords

Cite

@article{arxiv.2605.19603,
  title  = {Predicting Organic Solar Cell Performance and Stability from Fast, Morphology-aware Current-Voltage Modeling},
  author = {Yasin Ameslon and Larry Lüer and Jens Harting and Olga Wodo and Olivier J. J. Ronsin},
  journal= {arXiv preprint arXiv:2605.19603},
  year   = {2026}
}

Comments

49 pages including SI

R2 v1 2026-07-22T07:21:21.217Z