journal article·2024-06Open access

Gradient Nanotwins and Enhanced Weighted Mobility Synergistically Upgrade Bi0.5Sb1.5Te3 Thermoelectric and Mechanical Performance

Kaikai Pang, Liya Miao, Qiang Zhang, Qiaoyan Pan, Yan Liu, Huilie Shi, Jingsong Li, Wenjie Zhou, Zongwei Zhang, Yuyou Zhang, Gang Wu, Xiaojian Tan, Jacques G. Noudem, Jiehua Wu, Peng Sun, Haoyang Hu, Guo‐Qiang Liu, Jun Jiang

Advanced Functional Materials· Volume 34· Issue 25

Abstract

Abstract Bi2Te3‐based alloys have historically dominated the commercial realm of near room‐temperature thermoelectric (TE) materials. However, the more widespread application is currently constrained by its mediocre TE performance and inferior mechanical properties resulting from intrinsic hierarchical structure. Herein, microstructure modulation and carrier transport optimization strategies are employed to efficiently balance the electro‐thermal transport performance. Specifically, the weighted mobility increases by 24%, while the lattice thermal conductivity decreases by 31% at 350 K compared to the matrix. Consequently, the Bi0.5Sb1.496Cu0.004Te2.98 sample attains a peak ZT of 1.45 at 350 K and an average ZT of 1.20 (300–500 K). Moreover, intricated microstructure design, exemplified by the gradient twin structure, significantly enhances the mechanical performance metrics, including Vickers hardness, compressive strength, and bending strength, to notable levels of 0.94 GPa, 224 MPa, and 58 MPa, respectively. Consequently, the constructed 17‐pair TE modules demonstrate a maximum conversion efficiency of 6.5% at ΔT = 200 K, surpassing the majority of reported Bi2Te3‐based modules. This study provides novel insights into the synergistic enhancement of TE and mechanical properties in Bi2Te3‐based materials, with potential applicability to other TE systems.
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Research context

OpenAlex topics: Advanced Thermoelectric Materials and Devices · Thermal properties of materials · Thermal Radiation and Cooling Technologies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Ningbo Institute of Materials Technology and Engineering Chinese Academy of Sciences Ningbo 315201 China

University of Chinese Academy of Sciences Beijing 100049 China

Research Institute of Nuclear Power Operation Wuhan 430223 China

Normandie University ENSICAEN UNICAEN CNRS CRISMAT Caen 14000 France

Funding

National Natural Science Foundation of China · International Cooperation Project of Ningbo City

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