Relating chemical structure and processing to performance in sustainable organic semiconductor solar cells
Jenny Nelson a, Jolanda Muller a
a Department of Physics and Centre for Processable Electronics, Imperial College London, London SW7 2AZ, UK
Materials for Sustainable Development Conference (MATSUS)
Proceedings of MATSUS Spring 2025 Conference (MATSUSSpring25)
Sustainable org semiconductors for light to current applications - #SusOrg
Sevilla, Spain, 2025 March 3rd - 7th
Organizers: Nicola Gasparini and Julianna Panidi
Invited Speaker, Jolanda Muller, presentation 456
DOI: https://doi.org/10.29363/nanoge.matsusspring.2025.456
Publication date: 16th December 2024

As the power-conversion efficiency of organic solar cells exceeds 20%, it becomes a priority to reproduce such performance in systems made from upscaleable materials and processes, and in systems with high operational stability. Small changes in chemical structure, solvent, fabrication process and device scale can all result in disappointing solar cell performance relative to a high-efficiency reference. Methods are needed to interpret changes in device performance in terms of the structural and spectroscopic properties of the active layers, in order to gain insight into how processing affects the basic operational mechanisms of the devices. At the same time, processing approaches that maintain the long term stability of the devices are needed.

In this talk we will present an approach to interpret the luminescence from active layer materials and devices in terms of basic molecular parameters and then analyse the effects of variations in material processing on these parameters in order to rationalise comparative device performance. Temperature dependent luminescence is analysed in terms of the Marcus-Levich-Jortner framework using Bayesian inference to distinguish the influences of different molecular parameters. We show the impact of process parameters such as solvent, additive and blend ratio on model parameters; and also explore the dependence of the quality of the fit on the range of data used in fitting. In a second study we show how the thermodynamic stability of organic heterojunctions can be controlled using novel ternary systems.  

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