Spring-based mechanical metamaterials with deep-learning-accelerated design

• Published in: Materials & design Vol. 252; p. 113800
• Main Authors: Guo, Xiaofeng, Zheng, Xiaoyang, Zhou, Jiaxin, Yamada, Takayuki, Yi, Yong, Watanabe, Ikumu
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.04.2025; Elsevier
• Subjects: Deep learning; Flexibility; Inverse design; Mechanical metamaterial; Soft robotics; Deep learning; Soft robotics; Inverse design; Flexibility; Mechanical metamaterial

Mechanical metamaterials exhibit unique properties that depend on their microstructure and surpass those of their constituent materials. Flexible mechanical metamaterials, in particular, hold significant potential for applications requiring substantial deformations, such as soft robotics and energy...