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一种具有取向液晶基元诱导热电势的可驱动离子凝胶热电纤维,用于四维动态自适应热收集。

An actuatable ionogel thermoelectric fiber with aligned mesogens-induced thermopower for four-dimensional dynamically adaptive heat harvesting.

作者信息

Cao Liuqi, Sun Tingting, Zhao Huiru, Shang MengHan, Wang Lianjun, Jiang Wan

机构信息

State Key Laboratory of Advanced Fiber Materials, College of Materials Science and Engineering, Donghua University, Shanghai, China.

College of Biological Science and Medical Engineering, Donghua University, Shanghai, China.

出版信息

Nat Commun. 2025 Jul 1;16(1):5445. doi: 10.1038/s41467-025-60103-x.

Abstract

Thermoelectric (TE) ionogel have emerged as promising materials for harvesting low-grade heat owing to their flexibility and giant thermopower. However, current high-performance TE ionogel requires multi-component systems, resulting in trade-offs between TE performance, mechanics, and ion leakage risk. Moreover, the humidity-dependent thermopower and two-dimensional device architectures restrict their practical applications. Here, a thermally actuated TE ionogel fiber is designed by tailoring the interactions between liquid crystal elastomer (LCE) network and ionic liquid. Fine tuning the mesogen orientation of LCE network ensures ~3-fold thermopower boost (25.8 mV K) and ~30-fold electrical conductivity boom (21.5 mS m) at low humidity (<30% RH). Furthermore, an actuatable gripper-structured TE device can be successfully integrated, which could four-dimensional dynamically adapt to complex-geometry heat source and enable decoupled recognition of size/shapes and temperatures of the heat source. The design concepts of actuatable thermoelectrics pave ways for their commercial successes in smart wearables and soft robots.

摘要

热电(TE)离子凝胶因其柔韧性和巨大的热电势而成为收集低品位热量的有前途的材料。然而,目前高性能的TE离子凝胶需要多组分体系,这导致了在热电性能、力学性能和离子泄漏风险之间的权衡。此外,湿度依赖的热电势和二维器件结构限制了它们的实际应用。在此,通过调整液晶弹性体(LCE)网络与离子液体之间的相互作用,设计了一种热驱动的TE离子凝胶纤维。在低湿度(<30%RH)下,微调LCE网络的介晶取向可确保热电势提高约3倍(25.8 mV K),电导率提高约30倍(21.5 mS m)。此外,可以成功集成一个可驱动的夹持器结构的TE器件,该器件可以在四维上动态适应复杂几何形状的热源,并能够解耦识别热源的尺寸/形状和温度。可驱动热电学的设计概念为其在智能可穿戴设备和软机器人领域的商业成功铺平了道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e295/12218173/14b8aa6903ef/41467_2025_60103_Fig1_HTML.jpg

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