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Operando and three-dimensional visualization of anion depletion and lithium growth by stimulated Raman scattering microscopy.

Qian Cheng | Lu Wei | Zhe Liu | Nan Ni | Zhe Sang | Bin Zhu | Weiheng Xu | Meijie Chen | Yupeng Miao | Long-Qing Chen | Wei Min | Yuan Yang
Nature communications | 2018

Visualization of ion transport in electrolytes provides fundamental understandings of electrolyte dynamics and electrolyte-electrode interactions. However, this is challenging because existing techniques are hard to capture low ionic concentrations and fast electrolyte dynamics. Here we show that stimulated Raman scattering microscopy offers required resolutions to address a long-lasting question: how does the lithium-ion concentration correlate to uneven lithium deposition? In this study, anions are used to represent lithium ions since their concentrations should not deviate for more than 0.1 mM, even near nanoelectrodes. A three-stage lithium deposition process is uncovered, corresponding to no depletion, partial depletion, and full depletion of lithium ions. Further analysis reveals a feedback mechanism between the lithium dendrite growth and heterogeneity of local ionic concentration, which can be suppressed by artificial solid electrolyte interphase. This study shows that stimulated Raman scattering microscopy is a powerful tool for the materials and energy field.

Pubmed ID: 30061610

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Associated grants

  • Agency: NIBIB NIH HHS, United States
    Id: DP2 EB016573
  • Agency: NIBIB NIH HHS, United States
    Id: R01 EB020892
  • Agency: Columbia University, International
    Id: Research Initiatives in Science & Engineering competition

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MATLAB (tool)

RRID:SCR_001622

Multi paradigm numerical computing environment and fourth generation programming language developed by MathWorks. Allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages, including C, C++, Java, Fortran and Python. Used to explore and visualize ideas and collaborate across disciplines including signal and image processing, communications, control systems, and computational finance.

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