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Optimal face-to-face coupling for fast self-folding kirigami.
Pecnik Bambic, Maks; Araújo, Nuno A M; Walker, Benjamin J; Hewitt, Duncan R; Pei, Qing Xiang; Ni, Ran; Volpe, Giorgio.
Afiliação
  • Pecnik Bambic M; Department of Chemistry, University College London, 20 Gordon Street, WC1H 0AJ London, UK. g.volpe@ucl.ac.uk.
  • Araújo NAM; Institute of High Performance Computing, A*STAR, Singapore.
  • Walker BJ; School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, 62 Nanyang Drive, 637459, Singapore.
  • Hewitt DR; Departamento de Física, Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisboa, Portugal.
  • Pei QX; Centro de Física Teórica e Computacional, Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisboa, Portugal.
  • Ni R; Department of Mathematical Sciences, University of Bath, Claverton Down, Bath, BA2 7AY, UK.
  • Volpe G; Department of Mathematics, University College London, Gordon Street, London, WC1H 0AY, UK.
Soft Matter ; 20(5): 1114-1119, 2024 Jan 31.
Article em En | MEDLINE | ID: mdl-38224143
ABSTRACT
Kirigami-inspired designs can enable self-folding three-dimensional materials from flat, two-dimensional sheets. Hierarchical designs of connected levels increase the diversity of possible target structures, yet they can lead to longer folding times in the presence of fluctuations. Here, we study the effect of rotational coupling between levels on the self-folding of two-level kirigami designs driven by thermal noise in a fluid. Naturally present due to hydrodynamic resistance, we find that this coupling parameter can significantly impact a structure's self-folding pathway, thus enabling us to assess the quality of a kirigami design and the possibility for its optimization in terms of its folding rate and yield.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Soft Matter Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Soft Matter Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Reino Unido
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