Autonomous AI Assistant to Build Nanostructures

An interdisciplinary research group at TU Graz is working on constructing logic circuits through the targeted arrangement of individual molecules. Artificial intelligence should speed up the process…
An interdisciplinary research group at TU Graz is working on constructing logic circuits through the targeted arrangement of individual molecules. Artificial intelligence should speed up the process…
Repairable and exchangeable skeleton modules with open load-bearing structures enable different types of use and uncomplicated adaptations in the event of future changes. Building heights of up to 24…
One topic, but a multiplicity of angles and perspectives.
Climate change is omnipresent.
And it is also having an impact on our cities.
Scientists at TU Graz are researching how urban
living spaces can respond to these changes.
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…
For us, utilising solar energy often means generating electricity using photovoltaics. Sophisticated architectural modifications, however, make much more possible.
Using 3D printing technology and ultrasonic joining technique, researchers at TU Graz succeeded in attaining an extremely strong joining of the renewable raw material wood with metal and polymer…
Batteries undercut their theoretical capacity in practice, sometimes significantly. In a lithium iron phosphate cathode, researchers at TU Graz have now been able to observe exactly where the capacity…
The chemist works on the next generation of organic solar cells at the Institute of Chemical Technology of Materials at Graz University of Technology. The alpha+ Foundation of the Austrian Science…
Physicists at TU Graz have calculated how suitable molecules can be stimulated by infrared light pulses to form tiny magnetic fields. If this is also successful in experiments, the principle could be…
Due to the complex structures of microporous crystals known as MOFs, reliable simulations of their properties have been difficult until now. Machine learning provides the solution.
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