By combining physics-based methods with machine learning, a team at the Institute of Thermodynamics and Sustainable Propulsion Systems at TU Graz is developing models that deliver better results…
In the ERC project HelixMold, a team from TU Graz developed a method for the computer-based design of artificial proteins, with a focus on custom biocatalysts for pharmaceutical applications or the…
Energy storage systems are becoming increasingly important, powerful and widespread. However, this also means that the demands on their safety and durability are growing.
Using machine learning workflows developed in-house, the researchers were able to establish that heat conduction is much more intricate than previously thought. Findings offer potential for developing…
The fundamental research activities of the PERL team aim at pushing the limits of power electronic converters in terms of their switching frequencies. Applications span various industries where small…
Anna Karner and Birgitta Schultze-Bernhardt are experimental physicists – one is a doctoral student, the other a professor. In this interview, they talk about hurdles, help and role models.
We use cookies in order to be able to provide you with the best possible service in the future. In the privacy policy you will find further information as well as the possibility of withdrawal.