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Science · Chemistry & materials · published 2026-09-18 · via Phys.org

Graphene oxide liquid crystals enable high-performance heat-conducting fibers

Researchers at KAIST first reported graphene oxide liquid crystals in 2011, enabling the production of graphene fibers with high strength and thermal conductivity. This fundamental research has already led to commercial products like antibacterial toothbrushes and functional sportswear. The latest commentary in Nature Materials highlights progress toward using these fibers for thermal management in aerospace and other applications.

Expanded Detail

Graphene oxide's oxygen functional groups make it water-dispersible, unlike pristine graphene, allowing liquid-phase processing into inks, coatings, and fibers. Above a critical concentration, the sheets spontaneously align into a liquid-crystalline state—a phenomenon KAIST first reported in 2011—enabling fiber spinning with sheets oriented along the fiber axis.

Conventional spinning methods struggled with filament breakage and poorly packed sheets, leaving voids that limited simultaneous gains in strength and thermal conductivity. Zhejiang University researchers addressed this by dispersing graphene oxide in viscous glycerol, imparting polymer-like viscoelasticity that permits ultrahigh-ratio drawing during wet spinning, yielding more tightly aligned fibers with fewer internal defects.

Context

This research could accelerate adoption of graphene fibers in thermal management systems for aerospace, where efficient heat dissipation is critical. Commercial products already exist—antibacterial toothbrushes and functional sportswear—demonstrating market viability. Improved fiber quality may enable lighter, more efficient cooling solutions in electronics and vehicles, potentially reducing energy consumption. Manufacturers and materials engineers would be primary beneficiaries, while consumers may eventually see more durable, heat-resistant products. However, scalable production and cost remain open questions that could temper near-term industrial impact.

Expanded detail and Context are AI-generated analysis; the linked article remains the authoritative source.
Read the full article at Phys.org →
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