biostudies-literatureUnknown9(6)Tanaka MTuring 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 distScience advanceseade4381https://www.ebi.ac.uk/biostudies/studies/S-EPMC9916983biostudies-literatureTuring pattern-based design and fabrication of inflatable shape-morphing structures.PMC9916983Yue LNomura TWei YTanaka MMontgomery SMSong YQi HJfalseTuring pattern-based design and fabrication of inflatable shape-morphing structures.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 dist2023-01-01T00:00:00Z2023 Feb2025-04-04T11:24:46Z2025-02-18T23:25:56.944ZS-EPMC99169833676365310.1126/sciadv.ade4381