Liquid-like thermal conductivity in solid materials: Dynamic behavior of silver ions in argyrodites

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, Hung Duen Yang, Venkatesh Singaravelu, Xiaohe Miao, Andrea Giugni, Jia Kai Hu, Jui Han Fu, Vincent Tung, Jian He, Ching Ming Wei, Jr Hau He

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

7 Scopus citations

Abstract

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.

Original languageEnglish
Article number109324
JournalNano Energy
Volume122
DOIs
StatePublished - 04 2024

Bibliographical note

Publisher Copyright:
© 2024

Keywords

  • AI machine learning
  • Argyrodites
  • Liquid-like thermoelectric materials
  • Molecular dynamics simulation
  • Superionicity
  • Ultralow thermal conductivity

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