A scaling law to determine phase morphologies during ion intercalation
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d0ee00653j.pdf
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Published version
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3.5 MB
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Author(s) • • • • • • • •
Fraggedakis, Dimitrios
Nadkarni, Neel
Gao, Tao
Zhou, Tingtao
Zhang, Yirui
Han, Yu
Stephens, Ryan M.
Shao-Horn, Yang
Bazant, Martin Z
Date Issued
May 2020
Journal
Energy & Environmental Science
Publisher
Royal Society of Chemistry (RSC)
Citation
Fraggedakis, Dimitrios et al. "A scaling law to determine phase morphologies during ion intercalation." Energy & Environmental Science 13, 7 (May 2020): 2142-2152 © 2020 The Royal Society of Chemistry
Version
Final published version
Abstract
Driven phase separation in ion intercalation materials is known to result in different non-equilibrium phase morphologies, such as intercalation waves and shrinking-core structures, but the mechanisms of pattern selection are poorly understood. Here, based on the idea that the coarsening of the slowest phase is the rate limiting step, we introduce a scaling law that quantifies the transition from quasi-equilibrium intercalation-wave to diffusion-limited shrinking-core behavior. The scaling law is validated by phase-field simulations of single Li[subscript x]CoO[subscript 2] particles, in situ optical imaging of single Li[subscript x]C[subscript 6] particles undergoing transitions between stage 1 (x = 1) and 2 (x = 0.5) at different rates, and all the available literature data for single-particle imaging of Li[subscript x]CoO[subscript 2], Li[subscript x]C[subscript 6] and Li[subscript x]FePO[subscript 4]. The results are summarized in operational phase diagrams to guide simulations, experiments, and engineering applications of phase-separating active materials. Implications for Li-ion battery performance and degradation are discussed.
MIT Department
Massachusetts Institute of Technology. Department of Physics
Massachusetts Institute of Technology. Department of Chemical Engineering
Massachusetts Institute of Technology. Department of Mechanical Engineering
Massachusetts Institute of Technology. Department of Materials Science and Engineering
Massachusetts Institute of Technology. Department of Mathematics
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Creative Commons Attribution Noncommercial 3.0 unported license
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DOI of Published Version
https://doi.org/10.1039/d0ee00653j