Multiphase Polarization in Ion‐Intercalation Nanofilms: General Theory Including Various Surface Effects and Memory Applications
Name
Adv Funct Materials - 2023 - Tian - Multiphase Polarization in Ion‐Intercalation Nanofilms General Theory Including.pdf
Description
Published version
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6.83 MB
Format
Adobe PDF
Checksum (MD5)
7e59fd5f3fc72ae0abec282841381a7b
Author(s) • •
Tian, Huanhuan
Li, Ju
Bazant, Martin Z
Date Issued
June 2023
Journal
Advanced Functional Materials
Publisher
Wiley
Citation
Adv. Funct. Mater. 2023, 33, 2213621
Version
Final published version
Abstract
Ion concentration polarization (CP, current‐induced concentration gradient adjacent to a charge‐selective interface) has been well studied for single‐phase mixed conductors (e.g., liquid electrolyte), but multiphase CP has been rarely addressed in literature. In our recent publication, we proposed that CP above certain threshold currents can flip the phase distribution in multiphase ion‐intercalation nanofilms sandwiched by ion‐blocking electrodes. This phenomenon is known as multiphase polarization (MP). It is then proposed that MP can further lead to nonvolatile interfacial resistive switching (RS) for asymmetric electrodes with ion‐modulated electron transfer, which theory can reproduce the experimental results of LTO memristors. In this study, a comprehensive 2D phase‐field model is derived for coupled ion‐electron transport in ion‐intercalation materials, with surface effects including electron transfer kinetics, non‐neutral wetting, energy relaxation, and surface charge. Then, the model is used to study MP. Time evolution of phase boundaries is presented, and analyze the switching time, current, energy, and cyclic voltammetry, for various boundary conditions. It is found that the switching performance can be improved significantly by manipulating surface conditions and mean concentration. Finally, the prospects of MP‐based memories and possible extensions of the current model is discussed.
MIT Department
Massachusetts Institute of Technology. Department of Chemical Engineering
Massachusetts Institute of Technology. Department of Mathematics
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Creative Commons Attribution-NonCommercial-NoDerivs License
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DOI of Published Version
https://doi.org/10.1002/adfm.202213621