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Hans Uhde Award ceremony 2026

Laurenz Mätzig from the Department of Mechanical Engineering receives the Hans Uhde Prize 2026

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© thyssenkrupp Uhde GmbH
President Prof. Manfred Bayer (left) congratulated (from left) Hilde Gerold, Daniel Alexander Spenner, Laurenz Mätzig, and Niklas Burkhardt at the Hans Uhde Award ceremony.
At the beginning of May, the Hans Uhde Foundation awarded the Hans Uhde Prize to four graduates of the Technical University of Dortmund for their outstanding achievements. In the Department of Mechanical Engineering, the winner of the 2026 prize is Laurenz Mätzig, who was supported by PD Dr.-Ing. habil. Tobias Kaiser and Prof. Dr.-Ing. habil. Andreas Menzel, Head of the Institute of Mechanics.

The Hans Uhde Foundation has set itself the goal of promoting science, education and training. It has been awarding prizes for outstanding scholastic and academic achievements for 40 years. Every year, prizes are awarded for academic achievements in the fields of computer science, chemical engineering, mechanical engineering and electrical and information technology.

Laurenz Mätzig from the Department of Mechanical Engineering received the award for his research (Master's thesis) "Efficient computational multiscale methods: Theory, numerics and applications".

Multiscale methods make it possible to explicitly include the complex structure of application-relevant materials on different length scales in numerical simulations. This allows the material behavior to be predicted much more precisely. However, the coupled simulations required for this are often associated with high computational costs, meaning that established methods quickly reach their limits for large-scale problems.

In his work, Mr. Mätzig investigated modern simulation methods based on the fast Fourier transform and combined these with methods of digital image analysis in order to significantly reduce the computing time required for the simulation of complex materials.

He thus made an important contribution to the further development of modern multi-scale methods and created the basis for reliable, informed predictions of material behavior.

 

Link to press release: Four TU graduates honored for outstanding theses