Gerrit Felsch

Project

Reconfigurable heterogeneous mechanical metamaterials: Towards adaptivity and learning
The aim of my research is to design metamaterials with the ability to reconfigure their microstructure as a reaction to external stimuli. Materials with such properties can be widely found in nature, but were only recently made feasible in engineering through advances in 3D printing. To create these metamaterials, I will combine numerical simulations, machine learning and experiments to search for metamaterial architectures that can actively change their performance and to create an external computation agent capable of controlling this change.

First supervisor

Dr. Viacheslav Slesarenko

Publications in livMatS

• Generative models struggle with kirigami metamaterials*
  Felsch, G., & Slesarenko, V. (2024). Generative models struggle with kirigami metamaterials. Scientific Reportss, 14(1), 19397. doi: 10.1038/s41598-024-70364-z
• Addressing manufacturing defects in architected materials via anisotropy: minimal viable case*
  Joedicke, I., Ghavidelnia, N., Felsch, G., Slesarenko, V. (2024): Addressing manufacturing defects in architected materials via anisotropy: minimal viable case. Acta Mechanica. doi: 10.1007/s00707-024-03855-9
• Exploiting self-contact in mechanical metamaterials for new discrete functionalities*
  Schwarz, D., Felsch, G., Tauber, F., Schiller, S., & Slesarenko, V. (2023). Exploiting self-contact in mechanical metamaterials for new discrete functionalities. Materials & Design, 112468. doi: 10.1016/j.matdes.2023.112468
• Controlling auxeticity in curved-beam metamaterials via a deep generative model
  Felsch, G., Ghavidelnia, N., Schwarz, D., & Slesarenko, V. (2023). Controlling auxeticity in curved-beam metamaterials via a deep generative model. Computer Methods in Applied Mechanics and Engineering, 410, 116032. doi: 10.1016/j.cma.2023.116032