材料科学
离子液体
热导率
化学物理
热电材料
离子电导率
离子
分子动力学
快离子导体
热电效应
热力学
物理化学
计算化学
复合材料
化学
电极
电解质
物理
催化作用
有机化学
生物化学
作者
Pai‐Chun Wei,Cheng‐Rong Hsing,Chun‐Chuen Yang,Yung‐Hsiang Tung,Hsin‐Jay Wu,Wan‐Ting Yen,Yen‐Chung Lai,Jey‐Jau Lee,Chin-Wei Wang,Hung-Cheng Wu,H. D. Yang,Venkatesh Singaravelu,Xiaohe Miao,Andrea Giugni,Jia-Kai Hu,Jui‐Han Fu,Vincent Tung,Jian He,Ching‐Ming Wei,Jr‐Hau He
出处
期刊:Nano Energy
[Elsevier]
日期:2024-04-01
卷期号:122: 109324-109324
被引量:1
标识
DOI:10.1016/j.nanoen.2024.109324
摘要
Argyrodite-type compounds are renowned for their exceptional thermoelectric performance and ultralow thermal conductivity. While the latter is commonly attributed to the superionic behavior of cations, there has been limited research into how cations' static or dynamic behavior affects the thermal transport properties of argyrodites. To address and bridge this research gap, we employ a wide range of measurements and develop ab-initio based machine-learning interatomic potentials to perform large-scale molecular dynamics simulations on Ag8SiTe6 under different temperatures. We highlight the symmetry breaking and lattice-distortion scattering caused by chilled ions at low temperatures and the enhanced ionic diffusion behavior at elevated temperatures endowing argyrodites with superior superionicity and liquid-like thermal conductivity. Our findings also provide valuable insights into the ionic diffusion kinetics and the exotic lattice dynamics of liquid-like thermoelectrics.
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