期刊
MATERIALS TODAY ENERGY
卷 25, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.mtener.2022.100964
关键词
Power harvesting; Thin films; Thermal transport; Wearable devices; Flexible electronics; Electronic transport
资金
- A*STAR's Science and Engineering Research Council [1527200019, A19D9a0096]
- A*STAR's Career Development Award [KIMR210401cSERCDA]
The research team designed high-performance thermoelectric materials by highlighting power factors instead of the traditional figure of merit zT. By preparing thin films with high power factors but low zT, they achieved high power density even with low zT values. The results suggest that maximizing power factors is more important than maximizing zT in both organic and inorganic thin films.
Flexible thermoelectrics have attracted great attention due to their potential to convert waste heat to electricity to power wearable devices and IoT (Internet of things) sensors. Though organic thin-film thermoelectric materials are popular choice for preparing flexible thermoelectrics, they suffer from low thermoelectric performances due to the low figure of merit zT. In this work, we demonstrate a new strategy to design high-performance thermoelectrics by highlighting the influence of power factors instead of zT. To verify our claim, thermoelectric is prepared through sputtering high-power factor but low zT elemental thin films of Sb (p-type) and Ni (n-type) on a polyimide substrate. In this system, ascribed by the high-power factor (up to 7 mW/mK2), a high power density of up to 4.7 mW/cm2 at a temperature gradient of 50 K can be achieved, even with the low zT (<0.1). In addition, finite element method (FEM) analysis shows that the benefit of high-power factor increases with decreasing film thicknesses. Our results show that in the case of organics and inorganics thin films, maximizing power factor is more important than maximizing zT. This finding serves to guide the design paradigm of thermoelectrics for wearable devices and is useful for the broad organic electronics community. (c) 2022 Elsevier Ltd. All rights reserved.
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