Source Data for Self-Spinning Filaments for Autonomously Linked Microfibers

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Author ORCID Identifier

Barber: 0000-0001-6129-5779

Publication Date

2022

Keywords

self-assembly, mesoscale, elastocapillarity, stimulus response, bundling

Disciplines

Applied Mechanics | Materials Chemistry | Polymer and Organic Materials | Polymer Chemistry

Description

Filamentous bundles are ubiquitous in Nature, achieving highly adaptive functions and structural integrity from assembly of diverse mesoscale supramolecular elements. Engineering routes to synthetic, topologically integrated analogs demands precisely coordinated control of multiple filaments’ shapes and positions, a major challenge when performed without complex machinery or labor-intensive processing. Here, we demonstrate a photocreasing design that encodes local curvature and twist into mesoscale polymer filaments, enabling their programmed transformation into target 3-dimensional geometries. Importantly, patterned photocreasing of filament arrays drives autonomous spinning to form linked filament bundles that are highly entangled and structurally robust. In individual filaments, photocreases unlock paths 16 to arbitrary, 3-dimensional curves in space. Collectively, photocrease-mediated bundling establishes a transformative paradigm enabling smart, self-assembled mesostructures that mimic performance-differentiating structures in Nature (e.g., tendon and muscle fiber) and the macro-engineered world (e.g., rope).

DOI

https://doi.org/10.7275/6ybn-g003

Grant/Award Number and Agency

1) NDSEG Fellowship

2) NSF DMR 2028885

3) W911NF-15-1-0358

Comments

README.txt included in .zip file. This paper is currently available in ChemRxiv.

Source Data for Self-Spinning Filaments for Autonomously Linked Microfibers
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