Author: Max Gmelch

Photovoltaic energy generation will play a major role in the future of producing electric energy. “Outdoor photoluminescence of large area photovoltaic modules”, investigated by Bernd Doll, can act as an on-site tool for fast and cost-effective characterization of solar cells. For investigation o...

Category: Publication Spotlight

In her publication “Utilizing the unique charge extraction properties of antimony tin oxide nanoparticles for efficient and stable organic photovoltaics”, Chao Liu presents a new and simple strategy in developing advanced interface materials for organic solar cells. By adding the metalloid antimo...

Category: Publication Spotlight

Recently, Stefan Richter published on “Imaging Trapped Ion Structures via Fluorescence Cross-Correlation Detection”. This highly sensitive technique yields structural information of the arrangement of single photon sources where direct imaging techniques fail. His results on the spatial frequenc...

Category: Publication Spotlight

Albert These worked on the “Characterization of Aerosol Deposited Cesium Lead Tribromide Perovskite Films on Interdigited ITO Electrodes”. He showed that aerosol deposition can be used to fabricate semiconducting perovskite films at low cost. The devices showed good electrical transport properties ...

Category: Publication Spotlight

Even nowadays, in the age of growing electromobility, the understanding of soot formation in combustion processes will remain import for many years to come. Florian Bauer’s “In situ characterization of absorbing species in stationary premixed flat flames using UV–Vis absorption spectroscopy” sho...

Category: Publication Spotlight

The conference paper “Automatic Path Planning for Safe Guide Pin Insertion in PCL Reconstruction Surgery” by Florian Kordon presents a time-saving pathway to optimize drill positioning in ligament surgery. Therefore, anatomical features are extracted from X-ray images using deep learning techniqu...

Category: Publication Spotlight

For his conference contribution “Determination of the beam position in laser deep penetration welding using coaxially acquired images of the keyhole front and machine learning”, Pablo Dilger trained a convolutional neural network in evaluation of high-speed images of laser welding processes. With hi...

Category: Publication Spotlight