Michael Andreas Klatt

My aim is to design novel spatial structures and put them into use. Unique geometrical properties, like hyperuniformity or quasicrystal symmetries, lead to exotic physical properties, which I explore by combining a rigorous theory with reliable machine learning methods. Finally, I optimize these complex structures for innovative material design.

After my PhD in physics, I went to the Department of Mathematics at the Karlsruhe Institute of Technology (KIT). As a postdoctoral researcher, I worked for three years at the Institute of Stochastics with Günter Last, Daniel Hug, and Norbert Henze.

Combining my insights from statistical physics, stochastic geometry, and spatial statistics, I joined Paul Steinhardt and Salvatore Torquato at Princeton University for two years as a postdoctoral research fellow. In 2020, during the coronavirus pandemic, I returned to Germany to work with Karin Jacobs and Hartmut Löwen within the recently established priority program "Random Geometric Systems", a mathematical program devoted to effects and phenomena that emerge from an interplay between randomness and geometry.

Since September 2023, I have been at the German Aerospace Center (DLR) to set up the Helmholtz Young Investigator Group "DataMat".

Location

Germany

Disciplines

Affiliation

German Aerospace Center (DLR)

Website

https://mklatt.org

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