TY - JOUR
T1 - Liquid-like thermal conductivity in solid materials
T2 - Dynamic behavior of silver ions in argyrodites
AU - Wei, Pai-Chun
AU - Hsing, Cheng-Rong
AU - Yang, Chun-Chuen
AU - Tung, Yung-Hsiang
AU - Wu, Hsin-Jay
AU - Yen, Wan-Ting
AU - Lai, Yen-Chung
AU - Lee, Jey-Jau
AU - Wang, Chin-Wei
AU - Wu, Hung-Cheng
AU - Yang, Hung-Duen
AU - Singaravelu, Venkatesh
AU - Miao, Xiaohe
AU - Giugni, Andrea
AU - Hu, Jia-Kai
AU - Fu, Jui-Han
AU - Tung, Vincent
AU - He, Jian
AU - Wei, Ching-Ming
AU - He, Jr-Hau
PY - 2024/4
Y1 - 2024/4
N2 - 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. © 2024 Published by Elsevier Ltd.
AB - 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. © 2024 Published by Elsevier Ltd.
KW - AI machine learning
KW - Argyrodites
KW - Liquid-like thermoelectric materials
KW - Molecular dynamics simulation
KW - Superionicity
KW - Ultralow thermal conductivity
UR - http://www.scopus.com/inward/record.url?scp=85183919089&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85183919089&origin=recordpage
U2 - 10.1016/j.nanoen.2024.109324
DO - 10.1016/j.nanoen.2024.109324
M3 - RGC 21 - Publication in refereed journal
SN - 2211-2855
VL - 122
JO - Nano Energy
JF - Nano Energy
M1 - 109324
ER -