Dislocation Introduction via Domain Engineering in Mg2Sn Single Crystal to Improve its Thermoelectric Properties.

IF 10.7 2区 材料科学 Q1 CHEMISTRY, PHYSICAL
Zhicheng Huang, Kei Hayashi, Wataru Saito, Hezhang Li, Jun Pei, Jinfeng Dong, Toshiaki Chiba, Xue Nan, Bo-Ping Zhang, Jing-Feng Li, Yuzuru Miyazaki
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引用次数: 0

Abstract

Dislocations have increasingly become important for improving the thermoelectric properties of thermoelectric materials due to their more pronounced scattering effect on phonons than on carriers. This study combined the introduction of the dislocation cores through domain engineering with the generation of Mg vacancies (VMg) by controlling point defects to achieve low lattice thermal conductivity and high power factor in n-type and p-type Mg2Sn single crystals (SCs). The VMg domain with ordered atomic arrangements allowed carrier transport with minimal scattering, while the high dislocation density at the interface effectively scattered phonons, thereby decoupling carrier-phonon transport. This resulted in obtaining the peak zT values of 0.83(8) and 0.42(4) for n-type and p-type Mg2Sn SCs, respectively. The outstanding combination of domain engineering and point defect control techniques could be a strategy for developing high-performance thermoelectric materials.

利用畴工程引入位错改善Mg2Sn单晶的热电性能。
由于位错对声子的散射作用比对载流子的散射作用更明显,因此对改善热电材料的热电性能越来越重要。本研究将通过畴工程引入位错核与通过控制点缺陷产生Mg空位(VMg)相结合,实现了n型和p型Mg2Sn单晶(SCs)的低晶格热导率和高功率因数。具有有序原子排列的VMg畴允许载流子以最小的散射输运,而界面处的高位错密度有效地散射声子,从而使载流子-声子输运解耦。结果表明,n型和p型Mg2Sn sc的zT峰值分别为0.83(8)和0.42(4)。区域工程和点缺陷控制技术的结合是开发高性能热电材料的一种策略。
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来源期刊
Small Methods
Small Methods Materials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍: Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques. With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community. The online ISSN for Small Methods is 2366-9608.
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