ArticleProceedings of the National Academy of Sciences of the United States of America2025
Training and retraining liquid crystal elastomer metamaterials for pluripotent functionality.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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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.
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Who cites it
2 citing papers in PubMed.
- Diffusive buckling fronts in lattice-based metamaterials.PNAS nexus · 2026Article
- Impact of dynamic bond strength on the training of liquid crystal elastomers.Chemical science · 2026Article
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Authors and funding
6 authors.
Funding
Abstract
Training has emerged as a promising materials design technique in which function can be achieved through repeated physical modification of an existing material rather than by direct chemical functionalization, cutting, or reprocessing. This work investigates both the ability to train for function and then to erase that function on-demand in macroscopic metamaterials made from liquid crystal elastomers. We first show that the Poisson's ratio of these disordered arrays can be tuned via directed aging to induce an auxetic response. We then show that the arrays can be reset and retrained for another local mechanical function, allostery, thus demonstrating pluripotent functionality.
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Registered trials
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