December 2024 joint RTG-PCL & CRC 1415 guest seminar and X-mas get-together


November 2024 joint scientific meeting

7th on-site scientific meeting, with TUD research group traveling to Erlangen and staying overnight. Includes one afternoon and one morning session.


September 2024 RTG2861-PCL Summer School 2024 "Properties and Functions of PCL"


July 2024 RTG-PCL invited talk


July 2024 Women in Science-3rd Erlangen Symposium

RTG-PCL doctoral researchers at the symposium

July 2024 RTG-PCL invited talk


May 2024 joint scientific meeting

6th on-site scientific meeting, with TUD research group traveling to Erlangen and staying overnight. Includes one afternoon and one morning session.


April 2024 joint scientific meeting

5th on-site scientific meeting, with FAU research group traveling to Dresden and staying overnight. Includes one afternoon and one morning session.

Impressions

April 2024 BeWISE 2024 - Women in Science and Engineering - Conference for female young scientists


January 2024 GSMS Winter School 2024, with participation of the RTG-PCL doctoral researchers

The winners of the RTG-PCL Hobby Project Competition

The research proposal project competition of RTG2861-PCL was unveiled during this year's GSMS winter school in Kirchberg. Since the RTG2861 Summer School, students collaborated in interdisciplinary groups to develop innovative proposals aligned with the DFG guidelines for a 3-year PhD project, to be presented within a 20-minute timeframe. The victorious team for this year comprises of Jannis Kockläuner (AK Golze, TUD), Shreya Garg (AK Maier, FAU), Elena Mack (AK Guldi, FAU), Aleena Jose (AK Kaskel, TUD), and Britta Maib (AK Maultzsch, FAU) who spearheaded the project titled "Let’s Save The Potatoes!" or "Deep Learning Strategies for Raman Spectroscopy based Plant Disease Detection".

The proposal centers on bridging the current gap between recent developments in the application of Raman techniques for analytical purposes and deep learning techniques. By building a Raman spectra database specifically dedicated to the flagship application of plant disease detection, the project aims to act as a bridge between two previously disconnected fields of research.

While various image databases, such as the Plant Village Dataset, have been combined with deep learning for symptomatic plant disease detection, Raman spectroscopy offers a promising alternative especially with focus on early detection during the asymptomatic stage. The ultimate objective is to demonstrate the applicability of anomaly detection techniques, introducing a new paradigm for the automated analysis of spectra which is solely based on healthy samples.

The winning team, composed of students with diverse backgrounds in Physical Chemistry, Theoretical Chemistry, Inorganic Chemistry, and Experimental Physics, underscores the collaborative ethos of RTG2861-PCL, promoting interdisciplinary engagements. Well done!

Winners of Research Proposal Competition at Kirchberg Winter School 2024 Winners of Research Proposal Competition at Kirchberg Winter School 2024