The green dream of the new generation of anodes for lithium-ion batteries
Second place went to Jana Kupka from the AIT Center for Low-Emission Transport. Her research focuses on the production of composite anode materials based on silicon, tin disulphide and graphite for generation 3b lithium-ion batteries. The aim is to increase the capacity, the number of charging cycles and the service life of the anode. Kupka's concept is to reduce the volume changes of the silicon and tin particles in the composite anode by means of a stable Li2S matrix phase, which is formed during the first charging process. This prevents typical degradation phenomena in the anode, such as crack propagation, particle breakage and loss of electrical contact. Another focus of her work is the water-based production of slurries for electrode coating in order to avoid toxic organic solvents in battery production.
AI-supported approaches as personalization to improve XR training
Third place went to Daniele Pretolesi from the AIT Center of Technology Experience, whose poster explores AI-supported approaches to adaptively design XR training based on biosignals and behavioural data and to improve the effectiveness of training through personalization. Extended Reality (XR) training systems are increasingly being used by all types of emergency responders such as law enforcement, firefighters, medical first responders and CBRNE (Chemical, Biological, Radiological, Nuclear, Explosives) specialists, and by using data collected from biosignals and behavior during training, AI can make changes in real time, providing a personalized and dynamic experience for the trainee and thus immensely improving the effectiveness of the training.
“The AIT Austrian Institute of Technology promotes and challenges its talents. This also means making our AIT researchers aware of the economic potential of their projects and providing them with targeted support along the way,” emphasizes AIT Managing Director Wolfgang Knoll.