ArticleScience advances2023
Turing pattern-based design and fabrication of inflatable shape-morphing structures.
Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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Who cites it
8 citing papers in PubMed.
- Robotic Materials With Bioinspired Microstructures for High Sensitivity and Fast Actuation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Designing reaction-cross-diffusion systems with Turing and wave instabilities.Journal of mathematical biology · 2025Article
- Fabric soft pneumatic actuators with programmable turing pattern textures.Scientific reports · 2024Article
- Machine learning-enabled forward prediction and inverse design of 4D-printed active plates.Nature communications · 2024Article
- A mechanically robust and facile shape morphing using tensile-induced buckling.Science advances · 2024Article
- Anisotropic Liesegang pattern for the nonlinear elastic biomineral-hydrogel complex.Science advances · 2024Article
- Cold-programmed shape-morphing structures based on grayscale digital light processing 4D printing.Nature communications · 2023Article
- Generative design of large-scale fluid flow structures via steady-state diffusion-based dehomogenization.Scientific reports · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Turing patterns are self-organizing stripes or spots widely found in biological systems and nature. Although inspiring, their applications are limited. Inflatable shape-morphing structures have attracted substantial research attention. Traditional inflatable structures use isotropic materials with geometrical features to achieve shape morphing. Recently, gradient-based optimization methods have been used to design these structures. These methods assume anisotropic materials whose orientation can vary freely. However, this assumption makes fabrication a considerable challenge by methods such as additive manufacturing, which print isotropic materials. Here, we present a methodology of using Turing patterns to bridge this gap. Specifically, we use Turing patterns to convert a design with distributed anisotropic materials to a distribution with two materials, which can be fabricated by grayscale digital light processing 3D printing. This work suggests that it is possible to apply patterns in biological systems and nature to engineering composites and offers new concepts for future material design.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.