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Ph. D. ThesisPh. D. Thesis 13. Acknowledgements 13. Acknowledgements
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Ph. D. Thesis
  Abstract
  Table of Contents
  1. Introduction
  2. Theory – Fundamentals of the Multivariate Data Analysis
  3. Theory – Quantification of the Refrigerants R22 and R134a: Part I
  4. Experiments, Setups and Data Sets
  5. Results – Kinetic Measurements
  6. Results – Multivariate Calibrations
  7. Results – Genetic Algorithm Framework
  8. Results – Growing Neural Network Framework
  9. Results – All Data Sets
  10. Results – Various Aspects of the Frameworks and Measurements
  11. Summary and Outlook
  12. References
  13. Acknowledgements
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13.   Acknowledgments

First of all, it is a pleasure to thank Prof. Dr. Günter Gauglitz for giving me the opportunity to do my Ph.D. at the Institute of Physical and Theoretical Chemistry (IPTC) at the University of Tübingen. The excellent working conditions, the topic of my research and the opportunities to participate in several international conferences and meetings were all made available by Prof. Gauglitz forming the basis of this work.

I wish to thank PD Dr. Udo Weimar from the University of Tübingen for his willingness to serve as second reviewer for this thesis.

I would like to express my thanks to Prof. Dr. Johann Gasteiger from the University of Erlangen for reviewing this thesis as third referee.

This work would not exist without many colleagues working with the different devices and generating all data analyzed in this thesis. I would like to thank my colleagues Dr. Birgit Kieser and Stefan Busche for the measurements by the SPR setup. I want to express my thanks to my colleagues Carmen Betsch, Maura Kasper, Georg Belge, Dirk Nopper and Matthias Vollprecht for the measurements using different RIfS setups. I want to say thank you to Dr. Sabine Reder who performed uncountable measure­ments using a TIRF setup. I would like to thank my coworkers Sevinal Altundal, Julia Fischer, Birgit Gaiser, Britt Schuster, Markus Hofmann and Michael Zatloukal for their tireless help and support.

I am deeply indebted to all my colleagues of the Gauglitz group for their help, the lively discussions and the great ambience. It was a pleasure to work in the "Verfügungsgebäude" thanks to Dr. Udo Weimar and his group who established an excellent working atmosphere.

I would like to express my thanks to Fred Reiner Rapp who made his powerful yet easy to use programs "Nemo" and "Solves" available. He never got tired of implementing all more or less useful features of my wish lists. I would like to thank Jürgen Mitschele for proof reading the spelling of this work.

The EC and the BMBF are acknowledged for the financial support (projects "AWACSS" and "VERN").

Last but not least, I would like to thank my family, in particular my parents, who enabled my studies and who gave me the support necessary during the last years.

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