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Cheng J, Yin L, Wang X, Duan S, Zhao P, Ma X, Li X, Bao X, Zhi S, Mao J, Cao F, Zhang Q. Realizing a Superior Conversion Efficiency of ≈11.3% in the Group IV-VI Thermoelectric Module. Small 2024:e2312145. [PMID: 38342591 DOI: 10.1002/smll.202312145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 01/16/2024] [Indexed: 02/13/2024]
Abstract
GeTe-based materials exhibit superior thermoelectric performance, while the development of power generation devices has mainly been limited by the challenge of designing the interface due to the phase transition in GeTe. In this work, via utilizing the low-temperature nano-Ag sintering technique and screening suitable Ti-Al alloys, a reliable interface with excellent connection performance has been realized. The Ti-Al intermetallic compounds effectively inhibit the diffusion process at Ti-34Al/Ge0.9 Sb0.1 Te interface. Thus, the thickness of the interfacial reaction layer only increases by ≈2.08 µm, and the interfacial electrical contact resistivity remains as low as ≈15.2 µΩ cm2 even after 30 days of isothermal aging at 773 K. A high conversion efficiency of ≈11.3% has been achieved in the GeTe/PbTe module at a hot-side temperature of 773 K and a cold-side temperature of 300 K. More importantly, the module's performance and the reliability of the interface remain consistently stable throughout 50 thermal cycles and long-term aging. This work promotes the application of high-performance GeTe materials for thermoelectric power generation.
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Affiliation(s)
- Jinxuan Cheng
- School of Materials Science and Engineering, and Institute of Materials Genome & Big Data, Harbin Institute of Technology, Shenzhen, 518055, China
| | - Li Yin
- School of Materials Science and Engineering, and Institute of Materials Genome & Big Data, Harbin Institute of Technology, Shenzhen, 518055, China
| | - Xinyu Wang
- Institute for Advanced Materials, Hubei Normal University, Huangshi, 435002, China
| | - Sichen Duan
- School of Materials Science and Engineering, and Institute of Materials Genome & Big Data, Harbin Institute of Technology, Shenzhen, 518055, China
| | - Peng Zhao
- School of Materials Science and Engineering, and Institute of Materials Genome & Big Data, Harbin Institute of Technology, Shenzhen, 518055, China
| | - Xiaojing Ma
- School of Materials Science and Engineering, and Institute of Materials Genome & Big Data, Harbin Institute of Technology, Shenzhen, 518055, China
| | - Xiaofang Li
- School of Science, Harbin Institute of Technology, Shenzhen, 518055, China
| | - Xin Bao
- School of Materials Science and Engineering, and Institute of Materials Genome & Big Data, Harbin Institute of Technology, Shenzhen, 518055, China
| | - Shizhen Zhi
- School of Materials Science and Engineering, and Institute of Materials Genome & Big Data, Harbin Institute of Technology, Shenzhen, 518055, China
| | - Jun Mao
- School of Materials Science and Engineering, and Institute of Materials Genome & Big Data, Harbin Institute of Technology, Shenzhen, 518055, China
- State Key Laboratory of Advanced Welding and Joining, Harbin Institute of Technology, Harbin, 150001, China
| | - Feng Cao
- School of Science, Harbin Institute of Technology, Shenzhen, 518055, China
| | - Qian Zhang
- School of Materials Science and Engineering, and Institute of Materials Genome & Big Data, Harbin Institute of Technology, Shenzhen, 518055, China
- State Key Laboratory of Advanced Welding and Joining, Harbin Institute of Technology, Harbin, 150001, China
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