apl. Prof. Dr. Uwe Ritter
Director of Institute
phone: +49 3677 69 3603
e-mail: uwe.ritter@tu-ilmenau.de
guest adress: Weimarer Str. 25, 98693 Ilmenau, Curiebau room 206
post adress: PO Box 10 05 65, 98684 Ilmenau
As a research assistant, I am working on the kinetic aspects of the photocatalytic decomposition of aldehydes via the so-called Norrish reaction. For this purpose, samples are irradiated with different light intensities under inert conditions and then investigated using nuclear magnetic resonance spectroscopy. Furthermore, I am also investigating the wavelength dependence of the Norrish reaction.
Dimitri Domnjuk
In my master thesis in cooperation with the Department of Mathematics of Data Science, I dealt with the use of Graph Neural Networks (GNNs) for the prediction of chemical shifts in nuclear magnetic resonance spectroscopy (NMR) using the example of 31P atomic nuclei. I compared current network architectures, developed my own GNNs and worked on transfer learning with other atomic nuclei such as 1Hor 13C. I also used tools such as GNNExplainer and GNNShap to improve the interpretability of the predictions.
Jasmin Hack
As part of my Master's research internship, I realized the establishment and validation of an irradiation unit for in-situ NMR measurements based on the results of my Bachelor's thesis. I used donor-acceptor-stenhouse adduct (DASA) dyes as model substances and excited the photoreactions directly in the NMR tube using an LED. The investigation of equilibrium and rate constants was validated by UV/VIS spectroscopy and then transferred to NMR spectroscopy.
Anthony Fink
Fiber composites have a wide range of applications, but recycling is a problem that is still unsolved. The aim of my research is to develop photolabile linkers to be integrated into the adhesion promoters that enable the interaction between fiber and polymer. These linkers should be destroyed by light irradiation during the recycling process, making it easier to separate the fibers and, at best, reuse them.
Maik Seemann
4-Hydroxythiazoles are interesting chemical compounds because of their biological properties, for example as 5-lipoxygenase inhibitors, and often show fluorescence phenomena. As part of my Master's thesis, I am working with the Department of Chemistry on the development of novel synthetic modifications of the thiazole base and their analysis. On the other hand, I am working on the systematic creation of a database that establishes a correlation between the fluorescence properties and specific structural elements of 4-hydroxythiazoles using machine learning.
