Three-dimensional flexible thermoelectric fabrics for smart wearables

Wearable thermoelectric devices, capable of converting body heat into electrical energy, provide the potential driving power for the Internet of Things, artificial intelligence, and soft robotics. However, critical parameters have long been overlooked for these practical applications. Here, we report a three-dimensional flexible thermoelectric device with a structure featuring an inner rigid and outer flexible woven design. Such a structure includes numerous small static air pockets that create a stable out-of-plane temperature difference, enabling precise temperature signal detection (accuracy up to 0.02 K). Particularly, this structure exhibits excellent multi-signal decoupling capability, excellent elasticity (>10,000 compression cycles), ultra-fast compression response (20 ms), stable output signal under 50% compressive strain, high breathability (1300 mm s<sup>-1</sup>), and washability. All these metrics achieve the highest values currently reported, fully meeting the requirements for body heat and moisture exchange, as demonstrated in our designed integrated smart mask and smart glove systems based on vector machine learning technology. This work shows that our three-dimensional flexible thermoelectric device has broad applicability in wearable electronics.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2025-03-14
DOI
https://doi.org/10.1038/s41467-025-57889-1
Citations
80
Primary Topic
Advanced Thermoelectric Materials and Devices
Type
article
Field-Weighted Citation Impact
41.42

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Three-dimensional flexible thermoelectric fabrics for smart wearables

Xiao‐Lei Shi, Xuliang Yu, Honghua Zhang, Xiaohong Qin et al.
80 citations
Nature Communications
Advanced Thermoelectric Materials and Devices
41.42
article

Three-dimensional flexible thermoelectric fabrics for smart wearables

Xiao‐Lei Shi, Xuliang Yu, Honghua Zhang, Xiaohong Qin, Chengzu Li, Zhi‐Gang Chen, Liming Wang, Wu Xiaoyun, Wendi Liu, Xinyang He
article en
80 citations

Abstract

Wearable thermoelectric devices, capable of converting body heat into electrical energy, provide the potential driving power for the Internet of Things, artificial intelligence, and soft robotics. However, critical parameters have long been overlooked for these practical applications. Here, we report a three-dimensional flexible thermoelectric device with a structure featuring an inner rigid and outer flexible woven design. Such a structure includes numerous small static air pockets that create a stable out-of-plane temperature difference, enabling precise temperature signal detection (accuracy up to 0.02 K). Particularly, this structure exhibits excellent multi-signal decoupling capability, excellent elasticity (>10,000 compression cycles), ultra-fast compression response (20 ms), stable output signal under 50% compressive strain, high breathability (1300 mm s<sup>-1</sup>), and washability. All these metrics achieve the highest values currently reported, fully meeting the requirements for body heat and moisture exchange, as demonstrated in our designed integrated smart mask and smart glove systems based on vector machine learning technology. This work shows that our three-dimensional flexible thermoelectric device has broad applicability in wearable electronics.

Nature CommunicationsVol. 16(1)
Jiangnan University (CN), Queensland University of Technology (AU), Donghua University (CN)
Australian Respiratory Council
Affordable and clean energy
Openalex Percentile: Top 0%
Advanced Thermoelectric Materials and Devices
41.42
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.