With a newly developed method that compares AI-generated protein sequences with naturally occurring ones, function- and structure-regulating amino acids can be determined much more precisely than…
Christoph Heil is a theoretical physicist at TU Graz and specialises in superconducting materials. His work would not be possible without quantum physics, as he explains in the interview.
Energy storage systems are becoming increasingly important, powerful and widespread. However, this also means that the demands on their safety and durability are growing.
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…
With the development of new, efficient small electric drives and a high-precision measurement method, the electrical engineer was able to secure the 150,000-euro prize in the university research…
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.
Using energy- and resource-saving methods, a research team at the Institute of Inorganic Chemistry at TU Graz aims to produce high-quality doped silicon layers for the electronics and solar…
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