Accelerating Auxetic Metamaterial Design with Deep Learning

• Published in: Advanced engineering materials Vol. 22; no. 5
• Main Authors: Wilt, Jackson K., Yang, Charles, Gu, Grace X.
• Format: Journal Article
• Language: English
• Published: 01.05.2020
• Subjects: additive manufacturing; auxetic materials; machine learning; metamaterials

Metamaterials can be designed to contain functional gradients with negative Poisson's ratio (NPR) that have counterintuitive behavior compared with monolithic materials. These NPR materials, referred to as auxetics, are relevant to engineering sciences because of their unique mechanical expansi...