ArticleNature communications2026
Scalable phase-change fibres with record thermo-mechanical properties for cooling textiles.
Article in Nature communications, 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.
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Authors and funding
4 authors.
Funding
Abstract
Efficient thermal regulation in clothing is critical for comfort, safety, and energy conservation, yet achieving it without active cooling remains a major challenge. Phase-change materials (PCMs), which store and release heat during solid-liquid transitions, offer a promising route toward passive and durable temperature control in everyday apparel. Embedding liquid-state PCMs into fibres (PCFs) is inherently challenging due to the instability of micro-scale liquid cores and the inability of conventional microfluidics to sustain continuous injection beyond centimetre lengths, limiting scalable fibre production. We overcome these barriers through a size-reduction and speed-matching strategy during thermal and cold fibre drawing, yielding uniform 35 m-long, 200 µm-thin core-shell PCFs. The fibres exhibit low supercooling (4.2 ± 0.3 °C), high latent enthalpy (122.6 ± 1.5 J g⁻¹), and record-level mechanical performance (32.1 ± 0.8 MPa strength, 671 ± 10.2% elongation). Fabrics incorporating 50% PCFs achieve sustained temperature reductions of 3-6 °C under realistic conditions, passively dissipating heat from sunlight and battery-generated hotspots while outperforming conventional cotton. These findings pave the way for scalable, high-performance textiles that provide passive thermal regulation, offering a practical strategy to reduce energy demand and mitigate environmental impact.
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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.