Datamining and analysis of the key parameters in organic solar cells

Moritz K. Riede; Andreas W. Liehr; Markus Glatthaar; Michael Niggemann; Birger Zimmermann; Tobias Ziegler; Andreas Gombert; Gerhard Willeke

doi:10.1117/12.662974

12 May 2006 Datamining and analysis of the key parameters in organic solar cells

Moritz K. Riede, Andreas W. Liehr, Markus Glatthaar, Michael Niggemann, Birger Zimmermann, Tobias Ziegler, Andreas Gombert, Gerhard Willeke

Author Affiliations +

Proceedings Volume 6197, Photonics for Solar Energy Systems; 61970H (2006) https://doi.org/10.1117/12.662974
Event: SPIE Photonics Europe, 2006, Strasbourg, France

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.

Citation Download Citation

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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available