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…
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…
One topic, but a multiplicity of angles and perspectives.
Energy storage systems are becoming increasingly important, powerful and widespread. However, this also means that the demands on their safety and durability are growing.
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…
In this video, TU Graz Professor Martin Schultze explains what the quantum world is all about and shows experiments.
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.
Markus Markl is a theoretical physicist at TU Graz working on nuclear fusion – a clean form of energy that we want to copy from the sun.
Finding and fixing errors in programme code still takes up a lot of developers’ time. A team at TU Graz has now developed a solution that tackles the biggest time wasters.
Monthly Newsletter about current Researchtopic at Tu Graz. Follow now.
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