ArticleScience advances2026
Active textiles move in confined areas.
Article in Science advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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0 citing papers in PubMed.
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Integrating shape-morphing materials into higher hierarchical level architectures can enable programmable, complex behaviors, but it remains unclear how thread architecture can turn local contraction into coordinated motion without changing the textiles' overall shape. Here, we demonstrate that embedding contracting threads into the versatile topologies of bobbin lace creates reconfigurable textiles that operate within fixed boundaries. Varying the mix of passive and active threads, their routing, and node placement makes it possible to transmit, cancel, or redirect motion. When lace architectures are classified by ground type, further regularities can be identified. While thread materials determine amplitude, activation thresholds, and multifunctional response, the rules governing pattern motion are primarily geometric. These design considerations can program permeability, reversible contacts, and other related responses across fabrics, establishing lace topology as a design strategy for reconfigurable textiles as well as soft devices and robots built from them.
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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.