» Articles » PMID: 37323029

Optimization of Thermoelectric Properties of Carbon Nanotube Veils by Defect Engineering

Overview
Journal Mater Horiz
Date 2023 Jun 16
PMID 37323029
Authors
Affiliations
Soon will be listed here.
Abstract

Carbon nanotubes (CNTs), with their combination of excellent electrical conductivity, Seebeck coefficient, mechanical robustness and environmental stability are highly desired as thermoelectric (TE) materials for a wide range of fields including Internet of Things, health monitoring and environmental remediation solutions. However, their high thermal conductivity () is an obstacle to practical TE applications. Herein, we present a novel method to reduce the of CNT veils, by introducing defects, while preserving their Seebeck coefficient and electrical conductivity. Solid-state drawing of a CNT veil embedded within two polycarbonate films generates CNT veil fragments of reducing size with increasing draw ratio. A successive heat treatment, at above the polycarbonate glass-to-rubber transition temperature, spontaneously reconnects the CNT veils fragments electrically but not thermally. Stretching to a draw ratio of 1.5 and heat repairing at 170 °C leads to a dramatic 3.5-fold decrease in (from 46 to 13 W m K), in contrast with a decrease in electrical conductivity of only 26% and an increase in Seebeck coefficient of 10%. To clarify the mechanism of reduction in thermal conductivity, a large-scale mesoscopic simulation of CNT veils under uniaxial stretching has also been used. This work shows that defect engineering can be a valuable strategy to optimize TE properties of CNT veils and, potentially, other thermoelectric materials.

Citing Articles

Organic Porous Materials and Their Nanohybrids for Next-Generation Thermoelectric Application.

Lin M, Hong S, Ding J, Liu C ACS Appl Mater Interfaces. 2024; 16(49):67116-67133.

PMID: 39576145 PMC: 11647904. DOI: 10.1021/acsami.4c12729.


Ultrafast Response and Threshold Adjustable Intelligent Thermoelectric Systems for Next-Generation Self-Powered Remote IoT Fire Warning.

Ding Z, Li G, Wang Y, Du C, Ye Z, Liang L Nanomicro Lett. 2024; 16(1):242.

PMID: 38985378 PMC: 11236834. DOI: 10.1007/s40820-024-01453-x.


Interfacial and Filler Size Effects on Mechanical/Thermal/Electrical Properties of CNTs-Reinforced Nanocomposites.

Wang J, Duan X, Gong L, Nie S Polymers (Basel). 2024; 16(6).

PMID: 38543413 PMC: 10974207. DOI: 10.3390/polym16060808.