UCLA

This study explores deployable structures inspired by nature’s morphogenesis, where biological systems inherently develop complex forms autonomously. Applying these principles, this research proposes a new approach where materials self-organize and morph from two-dimensional to three-dimensional shapes without traditional manufacturing constraints.Deployable structures offer significant advantages in compactness, simplifying storage and transportation, making them particularly valuable in fields like aerospace and biomedicine where tailored, precise forms are crucial. However, the transformation from planar to three-dimensional structures presents substantial challenges due to complex design interdependencies. To address this, the research develops kirigami based structures capable of deploying from a planar to a 3D shapes. Furthermore, these possess the ability of switching between stable states without continuous energy input, enhancing their functionality for various applications. Additionally, the study tackles the inverse design challenge through a novel integration of machine learning, optimizing design parameters for specific functional needs efficiently. This approach not only bridges the gap between static planar manufacturing and dynamic structural functionality but also creates a platform for a more intuitive, equipment-frugal way to tackle deployable systems, setting the stage for future innovations in the field.