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12 May 2006 Datamining and analysis of the key parameters in organic solar cells
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Abstract
The production process of organic solar cells (OSCs) is investigated and the effects of parameter variations on experimental results are analysed with the Principal Component Analysis (PCA). This statistical method is applied to an exemplar data set, in which the materials' concentration in the absorber solution and the spincoating speed of the absorber solution were varied intentionally. In addition to the remaining production parameters, the time intervals between the steps were included in the analysis. A large part of the variance in the experimental results can be explained with the evaporation conditions, the spincoating speed and the concentrations in the absorber solution. The PCA also confirms that the OSC is a complex and interdependent system, where one has to analyse the influence of several parameters at the same time in order to understand their effects on the OSC properties. The PCA results will be used to focus further experiments on the identified key parameters.
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Moritz K. Riede, Andreas W. Liehr, Markus Glatthaar, Michael Niggemann, Birger Zimmermann, Tobias Ziegler, Andreas Gombert, and Gerhard Willeke "Datamining and analysis of the key parameters in organic solar cells", Proc. SPIE 6197, Photonics for Solar Energy Systems, 61970H (12 May 2006); https://doi.org/10.1117/12.662974
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