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Defect-driven anomalous transport in fast-ion conducting solid electrolytes.

Andrey D Poletayev1,2, James A Dawson3,4, M Saiful Islam5,6

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This summary is machine-generated.

Anomalous diffusion in fast-ion conductors is explained by defect chemistry and processing. This research connects atomistic details to macroscopic performance for optimizing solid-state electrochemical devices.

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Area of Science:

  • Materials Science
  • Solid-State Chemistry
  • Computational Physics

Background:

  • Solid-state ionic conduction is crucial for electrochemical energy storage and conversion.
  • Understanding the link between material processing, defect chemistry, transport, and performance is incomplete.
  • Anomalous diffusion is observed in fast-ion conductors like beta- and beta''-aluminas.

Purpose of the Study:

  • To re-examine anomalous diffusion in beta- and beta''-aluminas using large-scale simulations.
  • To elucidate the mechanistic connections between processing, defects, and ion transport dynamics.
  • To enable mechanism-driven optimization of fast-ion conductors from atomistic to device levels.

Main Methods:

  • Large-scale simulations of ion transport.
  • Analysis of frequency dependence of alternating-current ionic conductivity.
  • Deconvolution of ion-ion repulsions, ion-defect attractions, and geometric crowding effects.

Main Results:

  • Simulations successfully reproduced experimental frequency-dependent conductivity data.
  • Charge-compensating defect distribution, influenced by processing, drives disorder and subdiffusive transport.
  • Memory effects in transport were characterized, linking defect chemistry to macroscopic performance.

Conclusions:

  • Processing-modulated defects are key to anomalous ion transport in fast-ion conductors.
  • A framework is established to connect atomistic defect chemistry to device-level performance.
  • This work facilitates the 'atoms-to-device' optimization of solid-state electrochemical systems.