50 citations · 50 across the 2 of their papers we have counts for
2 papers
cs.CE2024
Generative models struggle with kirigami metamaterials
Gerrit Felsch, Viacheslav Slesarenko
Generative machine learning models have shown notable success in identifying architectures for metamaterials - materials whose behavior is determined primarily by their internal or…
cond-mat.soft2023★ 50 cited
Controlling auxeticity in curved-beam metamaterials via a deep generative model
Gerrit Felsch, Naeim Ghavidelnia, David Schwarz +1
Lattice-based mechanical metamaterials are known to exhibit quite a unique mechanical behavior owing to their rational internal architecture. This includes unusual properties such…