Generative Models Struggle With Kirigami Metamaterials

This article discusses the challenges of using generative algorithms to create complex kirigami metamaterials. It highlights the importance of adapting existing methods or developing new approaches to overcome these challenges. The article also proposes using kirigami metamaterials as a benchmark for assessing the ability of generative algorithms to learn general design space restrictions.