Green Location TU Graz for Environmentally Friendly Events

TU Graz has been certified as a “Green Location” since last year. This makes it even easier to organise environmentally friendly events.
TU Graz has been certified as a “Green Location” since last year. This makes it even easier to organise environmentally friendly events.
A research team led by Paolo Falcaro has developed a microporous crystal compound that signals whether protein-rich foods are spoilt. The ERC grant is now being used to explore practical applications.
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.
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…
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…
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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