Identification and Analysis of Key Parameters in Organic Solar Cells

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RIEDE, Moritz, 2006. Identification and Analysis of Key Parameters in Organic Solar Cells [Dissertation]. Konstanz: University of Konstanz

@phdthesis{Riede2006Ident-9001, title={Identification and Analysis of Key Parameters in Organic Solar Cells}, year={2006}, author={Riede, Moritz}, address={Konstanz}, school={Universität Konstanz} }

Identification and Analysis of Key Parameters in Organic Solar Cells 2011-03-24T17:52:45Z Attribution-NonCommercial-NoDerivs 2.0 Generic Riede, Moritz Identifikation und Analyse von Schlüsselparametern in Organischen Solarzellen application/pdf 2011-03-24T17:52:45Z 2006 Riede, Moritz eng Research in the field of organic semiconductors has attracted much interest in recent years. Organic semiconductors, i.e. carbon-based materials with semiconducting properties, have intriguing features, which make them interesting for both fundamental research and industrially made products.<br /><br />Some electronic devices made of organic semiconductors are already commercially available, e.g. displays with organic light-emitting diodes (OLEDs), whereas other devices, e.g. organic solar cells (OSCs), are still at the development stage. What is yet to be shown are OSCs, which satisfy the preconditions for commercialisation, i.e. with lifetimes >5 years, competitive cost (5%. Further intense research in the field of OSCs is required to achieve this goal.<br /><br />However, the large variety of organic semiconductors available and the many production parameters make a deterministic approach difficult: even when considering the same material combination of donor and acceptor, there are many parameters during production with a potential influence on the OSC performance and always several differ from one OSC to the next. The effects of these variations have to be analysed simultaneously due to the complexity and sensitivity of the OSCs. This makes the application of statistical methods essential for analysing the effect of production parameters, or combinations of them, for evaluating the potential of new materials and for optimising OSCs.<br /><br />This thesis describes both the creation of a solid platform for the acquisition and management of well-documented OSC preparation and measurement records, the fundamental requirements for sound statistical analysis, and the establishment of principal component analysis (PCA) for mining OSC data. PCA was used to search the data obtained for P3HT:PCBM OSCs for correlations, in order to explain the large observed spread in the measured OSC properties. It was found that variations in the evaporation process of the cathode have a significant influence on the OSC properties and it was confirmed that slow drying of the absorber layer leads to an improved OSC efficiency. Further links between production parameters and OSC properties were suggested and all necessary tools are in place to allow further investigations of the observed correlations and future material screening and OSC concept development. On the basis of the PCA, a statistical model was proposed, which can predict the main OSC properties given the production parameters. Thus, numerical optimisation of the predicted OSC properties should lead to improved production parameters, resulting in more reproducible OSCs with better performance.

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