Multimodal Structure Solution Unravels Correlated Disorder Promoting Ionic Migration in Silicate Sodium‐Ion Electrolytes
Abstract
ABSTRACT Characterizing structural disorder in solids is of significant challenge, which requires new strategy on probing and describing local structures over different scales and uncovering coherent ordering hidden in the structural disorder. Herein, we demonstrate a multimodal solution for structural disorder in Na 2(1− x ) Mg 1− x Si 1+ x O 4 sodium‐ion electrolytes with a stuffed cristobalite tetrahedral network. Neutron pair distribution function analysis combined with reverse Monte Carlo simulations was employed to probe the structural disorder in nanometer‐scale supercells, uncovering the hidden correlated Mg/Si disorder or local Mg/Si order forming neighboring pure Mg (or Mg‐rich) and Si columns. This correlated disorder was further validated by solid state 29 Si nuclear magnetic resonance (NMR) spectroscopy and NMR‐guided structure screenings. The sodium cations in the tunnels were proposed to be interstitial‐like mobile charge carriers for ionic conduction in Na 2(1− x ) Mg 1− x Si 1+ x O 4 referring to the parent cristobalite structure. Both sodium contents within the tunnels and structural disorder level play competing roles in the sodium migration, while local Mg/Si order may minimize distortion of tetrahedral network and therefore maximize the tunnel bottlenecks promoting sodium migration. This work provides practicable multimodal solution strategy to solve the commonly complex structural disorders and unveil inherently local order with wide applicability in functional materials, enhancing understanding of structure‐property relationship.
Article Details
Authors (12)
Alberto J. Fernández‐Carrión
Guangxi Key Laboratory of Electrochemical and Magnetochemical Functional Materials College of Chemistry and Bioengineering Guilin University of Technology Guilin P.R. China
Hankun Xu
Institute of Solid State Chemistry, Department of Physical Chemistry
Xing Ming
College of Physics and Electronic Information Engineering
Aydar Rakhmatullin
CNRS CEMHTI UPR3079 Univ. Orléans Orléans France
Cheng Li
Jinpeng Wang
College of Physics and Electronic Information Engineering
Florence Porcher
Laboratoire Léon Brillouin CEA Saclay Gif Sur Yvette France
Xiangdong Ma
Future Energy Interdisciplinary Center Key Laboratory of Solid‐State Energy Conversion and Storage of Jiangxi Education Department School of Intelligent Manufacturing and Future Energy Gannan Normal University Ganzhou Jiangxi P.R. China
Xueting Zhang
School of Environmental and Chemical Engineering
Michael J. Pitcher
Mathieu Allix
Xiaojun Kuang