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…
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…
Three computer scientists, one electrical engineer, one mathematician and one chemist received their doctorates on 14 March 2025 in the Great Hall of the Old University of Graz under the auspices of…
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.
TU Graz has honoured five projects with diversity awards – including a work on an AI-generated voice for people with speech impairments and a game that inspires young women to take up programming.
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