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Graz University of Technology


Brain-inspired AI developed by Graz University of Technology is capable of flexible planning and problem-solving

The brain-inspired AI model employs human problem-solving strategies to solve complex problems, consuming significantly less energy than traditional large language models. The system utilizes cognitive maps to guide its approach, allowing it to adapt flexibly to changing situations without requiring retraining.

SourceGraz University of Technology·JournalNature Machine Intelligence·DateJul 28, 2026

Graz University of Technology unravels mystery of the structure of MOF thin films

A team at Graz University of Technology has solved the puzzle of MOF thin film structure using advanced diffraction techniques and computational modeling. They found that prototypical Cu(bdc) thin films are not porous as expected, but instead densely packed with additional hydroxide groups.

SourceGraz University of Technology·JournalAdvanced Functional Materials·TypeComputational simulation/modeling·DateJul 2, 2026

Disco lasers improve the safety of snow groomers

Researchers developed a disco laser system to enhance data visualization for snow groomers, improving operator comfort and reducing nausea caused by VR headsets. The system also enables better tracking and orientation aids, leading to more efficient and safe operation in challenging conditions.

SourceGraz University of Technology·JournalComputers & Graphics·TypeComputational simulation/modeling·DateMay 28, 2026

New study reveals strict selection patterns in social relationships

Researchers found that humans are extremely selective when choosing friends and partners, evaluating all identity characteristics positively before entering a relationship. The study used data from high school friendships and marriages to validate its findings, revealing that factors like grade level, ethnic background, and age play a ...

SourceGraz University of Technology·JournalCommunications Physics·TypeData/statistical analysis·DateMay 13, 2026

New study: Women are 60 percent more likely to be injured in car accidents than men

A new study by TU Graz finds that women have a 60 per cent higher injury risk in car accidents compared to men. Women suffer noticeably more severe injuries even at lower collision speeds, with the risk of serious injury or death being twice as high. The study highlights the need for more realistic tests and intelligent safety systems.

SourceGraz University of Technology·TypeComputational simulation/modeling·DateMay 7, 2026

In search of the room temperature superconductor: international team formulates research agenda

An international team of researchers calls for a coordinated effort to find room temperature superconductors, which could revolutionize technology and everyday life. The team proposes a strategy to systematically search for materials and manipulate their properties using advanced techniques.

SourceGraz University of Technology·JournalProceedings of the National Academy of Sciences·TypeExperimental study·DateMar 9, 2026

New AI method revolutionizes the design of enzymes

Researchers have developed a new AI method called Riff-Diff to construct artificial biocatalysts, resulting in enzymes that are significantly faster, more stable and versatile. The technology allows for precise design of protein structures around active centres, making enzyme design more accessible to the wider biotechnology community.

SourceGraz University of Technology·JournalNature·TypeComputational simulation/modeling·DateJan 22, 2026

Graz University of Technology researchers open up new avenues of understanding proteins

Researchers at Graz University of Technology have developed a new approach to understand protein function and stability, identifying amino acids crucial for both with high accuracy. The FSA method combines machine-learning-generated sequences with natural sequences, revealing functional and structural significance of amino acids.

SourceGraz University of Technology·JournalStructure·TypeComputational simulation/modeling·DateOct 30, 2025

Graz University of Technology and the University of Regensburg carry out research on the link between leaky blood-brain barrier and depression

Graz University of Technology and the University of Regensburg are conducting research on the interaction of cell types at the blood-brain barrier, with a particular focus on sex-specific differences in depression. The study aims to identify mechanisms contributing to depression and develop targeted therapies.

SourceGraz University of Technology·JournalNature Reviews Bioengineering·TypeExperimental study·DateOct 16, 2025

Graz University of Technology opens up new avenues in lung cancer research with digital cell twin

Researchers at Graz University of Technology created a highly detailed digital twin of the A549 lung cancer cell line, paving the way for individualized cancer treatment. The model simulates calcium dynamics and electrical voltages, allowing for testing of drugs and personalized treatment strategies.

SourceGraz University of Technology·JournalClinical and Translational Medicine·TypeComputational simulation/modeling·DateSep 18, 2025

Printed skin to replace animal testing

Researchers from TU Graz and Vellore Institute of Technology have developed a 3D-printed skin imitation with living cells to test nanoparticles from cosmetics. The skin imitation mimics human skin's three-layer tissue structure and biomechanics, made possible by hydrogel formulations printed together with living cells.

SourceGraz University of Technology·JournalSTAR Protocols·TypeExperimental study·DateApr 3, 2025

Graz University of Technology team decodes heat conduction of complex materials

Researchers at Graz University of Technology developed a new understanding of how complex materials like organic semiconductors and MOFs transport thermal energy. They discovered that phonon tunneling plays a crucial role in heat conduction, enabling targeted design of materials with specific thermal properties.

SourceGraz University of Technology·Journalnpj Computational Materials·TypeComputational simulation/modeling·DateMar 20, 2025