Year: 2021
Type: article
Abstract: Belousov–Zhabotinsky (BZ) reactions have been used to investigate periodic spatial patterns due to the oscillatory nature of the reaction. However, these systems have not been confined, nor controlled, in macro‐scaled architectures, making it hard to translate observations to natural behavior. Here, a poly(electrolyte) complex is designed that can be ionically or covalently reinforced to construct 3D geometries with additive manufacturing techniques. Printed geometries varied in shape, size, and angle to investigate spatiotemporal pattern formation in 3D. Size variations correlated to trends in oscillating pattern frequencies, demonstrating a geometry effect on spatial alterations. Overall, the combination of 3D printing techniques with self‐oscillating chemical reactions allows to model, study, and further understand macro‐scale patterns observed in nature. The proposed approach can be used to design smart structure to replicate biological oscillators such as cardiac arrhythmias, neuron signaling, and camouflage skin patterns.
Source: Advanced Materials Technologies
Authors: Ilse B. Nava‐Medina, Karli A. Gold, Savannah M. Cooper, Kyle Robinson, Abhishek Jain, Zhengdong Cheng, Akhilesh K. Gaharwar
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W3190717261