Dr. Mischa Blaszczyk erhielt am 10.07.2025 im Rahmen des Semesterkonzerts an der RUB den Gert-Massenberg-Preis für seine Dissertation „Forward and inverse multiscale modeling of cancellous bone considering the full coupling of mechanical, electric and magnetic effects“.

Vom 5.-6. Juni hat der Lehrstuhl gemeinsam mit dem Team von Prof. Dr. Hung Nguyen-Xuan, Center for Interdisciplinary Research Technology, Ho Chi Minh City University of Technology, einen Workshop zur Topologieoptimierung ausgerichtet. An dem 2-tägigen Workshop, der gemeinsam mit dem SFB 1683 veranstaltet wurde, nahmen über 30 Wissenschaftler*innen teil.

We enhance the conventional physics-informed neural network framework by implementing the principles of data-driven computational mechanics into GANs. 

Ciftci, K., & Hackl, K. (2024). A physics-informed GAN framework based on model-free data-driven computational mechanics. Computer Methods in Applied Mechanics and Engineering, 424, 116907.

We present a two-scale finite element (FE) and fast Fourier transformation (FFT)-based method incorporating finite strains and a thermo-mechanically coupled constitutive model for elasto-viscoplastic polycrystalline materials.

Schmidt, A., Gierden, C., Fechte-Heinen, R., Reese, S. & Waimann, J., (2025). Efficient thermo-mechanically coupled and geometrically nonlinear two-scale FE-FFT-based modeling of elasto-viscoplastic polycrystalline materials. Computer Methods in Applied Mechanics and Engineering, 435, 117648.